• Cluster analysis itself is not one specific algorithm, but the general task to be solved. (wikipedia.org)
  • The appropriate clustering algorithm and parameter settings (including parameters such as the distance function to use, a density threshold or the number of expected clusters) depend on the individual data set and intended use of the results. (wikipedia.org)
  • Centroid models: for example, the k-means algorithm represents each cluster by a single mean vector. (wikipedia.org)
  • Distribution models: clusters are modeled using statistical distributions, such as multivariate normal distributions used by the expectation-maximization algorithm. (wikipedia.org)
  • Relaxations of the complete connectivity requirement (a fraction of the edges can be missing) are known as quasi-cliques, as in the HCS clustering algorithm. (wikipedia.org)
  • with the title "Enhanced path-based Clustering Algorithm" shows the results that path analysis with cluster integration gives results that outperform other cluster algorithms. (frontiersin.org)
  • In this paper, we establish the Students' evaluation of teaching (SET) discriminant analysis model and algorithm based on principal component clustering analysis. (ed.gov)
  • Finally, the model and algorithm are proved to be effective and objective according to the empirical analysis. (ed.gov)
  • hierarchical agglomerative clustering algorithm was performed using Ward's minimum variance method. (uni-koeln.de)
  • Typical cluster models include: Connectivity models: for example, hierarchical clustering builds models based on distance connectivity. (wikipedia.org)
  • Hierarchical clustering, bottom-up. (lu.se)
  • Hierarchical clustering is now supported through MeV ( ​ http://www.tm4.org ). (lu.se)
  • The main objective was to get Hierarchical clustering working. (lu.se)
  • k-means clustering and hierarchical clustering . (udemy.com)
  • Clustered data imply a hierarchical nature to the data, and while many levels can be considered, two levels are most commonly specified. (annfammed.org)
  • Occasionally, certain aspects of the hierarchical information on clustering displayed by data are partly known (as in the case of clustering by patient service or treatment site, for example). (cam.ac.uk)
  • We also study the performance of different estimators - maximum likelihood, weighted least squares and Markov chain Monte Carlo - on factor analytic estimates when hierarchical clustering is ignored. (cam.ac.uk)
  • There are five main clustering approaches, but the most common are k-means and hierarchical clustering. (adobe.com)
  • Trained on a variety of simulated clustered data, the neural network can classify millions of points from a typical single-molecule localization microscopy data set, with the potential to include additional classifiers to describe different subtypes of clusters. (nature.com)
  • Article: Call detail record-based traffic density analysis using global K-means clustering Journal: International Journal of Intelligent Enterprise (IJIE) 2020 Vol.7 No.1/2/3 pp.176 - 187 Abstract: With the expanding number of vehicles on the road is creating substantial traffic that is hard to control and maintain safety, particularly in extensive urban areas. (inderscience.com)
  • Nonetheless, the traditional Na-O and Mg-Al (anti-)correlations, typically seen in old globular clusters, are not seen in our data. (aanda.org)
  • When turning to low Galactic latitudes, not only the primarily old, globular clusters (GCs) are of interest, but young-to-intermediate-age open clusters (OCs) become the prime tracer of the Galactic disks. (aanda.org)
  • The information on Galactic assembly time is imprinted on the chemodynamics of globular clusters. (lu.se)
  • The abundance pattern of the globular cluster is compatible with bulge field RR Lyrae stars and in-situ well-studied globular clusters. (lu.se)
  • Its relatively low metallicity with respect to old and moderately metal-poor inner Galaxy clusters may suggest a low-metallicity floor for globular clusters that formed in-situ in the early Galactic bulge. (lu.se)
  • This category contains algorithms used for cluster analysis . (wikipedia.org)
  • It can be achieved by various algorithms that differ significantly in their understanding of what constitutes a cluster and how to efficiently find them. (wikipedia.org)
  • The notion of a "cluster" cannot be precisely defined, which is one of the reasons why there are so many clustering algorithms. (wikipedia.org)
  • However, different researchers employ different cluster models, and for each of these cluster models again different algorithms can be given. (wikipedia.org)
  • The notion of a cluster, as found by different algorithms, varies significantly in its properties. (wikipedia.org)
  • Understanding these "cluster models" is key to understanding the differences between the various algorithms. (wikipedia.org)
  • Aside from their utilit in processing large gap-filled multi-alignments, these algorithms can be applied to a broad spectrum of rRNA analysis functions such as subalignment, phylogenetic subtree extraction and construction, and organism tree-placement, and can serve as a framework to organize sequence data in an efficient and easily searchable manner. (aaai.org)
  • In our proposed method to discover the density scope of the traffic, we are using two algorithms called k-means clustering and the k nearest neighbour classification algorithms. (inderscience.com)
  • Statistical methods that can be used to deal with these problems are using cluster integration and path analysis [ 3 ]. (frontiersin.org)
  • This study examines the application of integrated clusters in path analysis with three different linkage methods, namely Ward linkage, Complete linkage, and Average linkage. (frontiersin.org)
  • Methods: Case investigation was based on the traditional epidemiological survey, combined with analysis based on big data about population movement trajectories. (unboundmedicine.com)
  • Methods for clustering in unsupervised learning are an important part of the statistical toolbox in numerous scientific disciplines. (jstatsoft.org)
  • Among the different analysis methods, k-means clustering is the most widely used and provides a simple but effective approach to partitioning data into groups. (adobe.com)
  • Cluster Analysis" SAGE Research Methods Foundations , Edited by Paul Atkinson, et al. (sagepub.com)
  • Many cluster analysis methods exist. (sagepub.com)
  • Second, logistic regression analysis of risk factors was done. (nih.gov)
  • We used logistic regression analyses, adjusted for these characteristics, to test whether having previous alcohol, cigarette, or marijuana use was associated with an increased likelihood of subsequently abusing prescription opioids. (who.int)
  • Brindle RC, Ginty AT, Jones A, Phillips AC, Roseboom TJ, Carroll D, Painter RC & de Rooij SR (2016) Cardiovascular reactivity patterns and pathways to hypertension: a multivariate cluster analysis. (stir.ac.uk)
  • For this reason multivariate cluster analysis was carried out to examine the relationship between heart rate and blood pressure reactivity patterns and hypertension in a large prospective cohort (age range 55-60 years). (stir.ac.uk)
  • We used multivariate analyses to examine changes on key outcome variables, controlling for major covariates. (cdc.gov)
  • However, despite their prominence in policy discourse, creative clusters are still a 'fuzzy' concept, defined and treated differently in different strands of research. (lse.ac.uk)
  • When the clusters are relatively homogeneous (that is, the intra-cluster correlation is small), parallel studies tend to deliver better statistical performance than a stepped wedge trial. (bmj.com)
  • According to Solimun [ 4 ], cluster analysis is used to group homogeneous objects into one and the characteristics between groups are heterogeneous. (frontiersin.org)
  • Here, we develop a supervised machine-learning approach to cluster analysis which is fast and accurate. (nature.com)
  • In this study, we want to examine the effect of using linkage on the integrated Cluster path analysis approach. (frontiersin.org)
  • From this research, we want to get the best linkage to be used in the integrated Cluster path analysis approach to classify the behavior of compliant to pay for the type of KPR Purchase. (frontiersin.org)
  • CONCLUSIONS: The success of cluster analysis in identifying dietary exposure categories with unique demographic and nutritional correlates suggests that the approach may be useful in epidemiologic studies that examine conditions such as obesity, and in the design of nutrition interventions. (lu.se)
  • We are developing a Bayesian approach to the study of ages and luminous masses of star clusters that cannot be resolved into stars. (ucsb.edu)
  • Li, Brown, Huang, and Bickel (2011) independently discussed a special case of these GMCMs as a novel approach to meta-analysis in highdimensional settings. (jstatsoft.org)
  • This multi-method approach allowed us to provide both a meta-analysis of CCR and an exploration of its thematic content. (lse.ac.uk)
  • Analysis Plan - Using an intent-to-treat approach, the primary outcome will be analyzed using a patient-level constrained multistate model adjusting for the clustering in CKD programs. (ices.on.ca)
  • The clustering approach an organization takes depends on what is being analyzed and why. (adobe.com)
  • CDC's approach identifies clusters of rapid transmission, and the most concerning of these are known as "national priority clusters. (cdc.gov)
  • Nevertheless, a systematic, integrated approach is needed for responding to reports of clusters. (cdc.gov)
  • In addition to having epidemiologic and statistical expertise, health agencies should recognize the social dimensions of a cluster and should develop an approach for investigating clusters that best maintains critical community relationships and that does not excessively deplete resources. (cdc.gov)
  • Although a systematic approach is vital, health agencies should be flexible in their method of analysis and tests of statistical significance. (cdc.gov)
  • To provide epidemiologic and statistical source material to state and local health agencies to aid in their development of a systematic approach to the evaluation of clusters of health events. (cdc.gov)
  • In most situations, the numeric value of the intra-cluster correlation tends to be small and positive. (annfammed.org)
  • However, if substantial cluster-level effects are present (that is, larger intra-cluster correlations) or the clusters are large, the stepped wedge design will be more powerful than a parallel design, even one in which the intervention is preceded by a period of baseline control observations. (bmj.com)
  • Small intracluster correlations coupled with large cluster size can still affect the validity of conventional statistical analyses. (annfammed.org)
  • Additionally, it may specify the relationship of the clusters to each other, for example, a hierarchy of clusters embedded in each other. (wikipedia.org)
  • Additionally, we classify the SET by clustering the result of extracting the indexes through the principal component analysis (PCA), then we also test the rationality of the rating using Fisher's discriminant function. (ed.gov)
  • Additionally, HIV clusters can be identified by providers, partner services and frontline staff, and community members. (cdc.gov)
  • It is a main task of exploratory data analysis, and a common technique for statistical data analysis, used in many fields, including pattern recognition, image analysis, information retrieval, bioinformatics, data compression, computer graphics and machine learning. (wikipedia.org)
  • Popular notions of clusters include groups with small distances between cluster members, dense areas of the data space, intervals or particular statistical distributions. (wikipedia.org)
  • 2 Failure to take into account the clustered structure of the study design during the planning phase of the study also can lead to underpowered study designs in which the effective sample size and statistical power to detect differences are smaller than planned. (annfammed.org)
  • Statistical software to conduct these types of analyses and for computing sample size for clustered data now exist, and we encourage their wider use. (annfammed.org)
  • STATISTICAL ANALYSIS PERFORMED: Subjects were clustered according to food energy sources using the FASTCLUS procedure in the Statistical Analysis System. (lu.se)
  • Objective - To prespecify the statistical analysis plan for the EnAKT LKD trial. (ices.on.ca)
  • This paper addresses the statistical significance of structures in random data: Given a set of vectors and a measure of mutual similarity, how likely does a subset of these vectors form a cluster with enhanced similarity among its elements? (arxiv.org)
  • The computation of this cluster p-value for randomly distributed vectors is mapped onto a well-defined problem of statistical mechanics. (arxiv.org)
  • In an application to gene expression data, we find a remarkable link between the statistical significance of a cluster and the functional relationships between its genes. (arxiv.org)
  • Cluster analysis is a statistical method used to identify and group similar data points together while also highlighting differences between groups. (adobe.com)
  • In dealing with cluster reports, the general public is not likely to be satisfied with complex epidemiologic or statistical arguments that deny the existence or importance of a cluster. (cdc.gov)
  • Density models: for example, DBSCAN and OPTICS defines clusters as connected dense regions in the data space. (wikipedia.org)
  • Attendees will learn how to employ two of the most popular clustering techniques (k-means and DBSCAN) to craft new insights from data via hands-on labs. (tdwi.org)
  • This study aims to compare integrated clusters on various linkages (Ward, Complete, and Average linkage) with path analysis to classify the behavior of subservient to pay for mortgages. (frontiersin.org)
  • Clustering can therefore be formulated as a multi-objective optimization problem. (wikipedia.org)
  • Cluster analysis as such is not an automatic task, but an iterative process of knowledge discovery or interactive multi-objective optimization that involves trial and failure. (wikipedia.org)
  • The objective of our study was to explore the phenomenon of meningococcal clustering in a more objective way by using a nearest-neighbor analysis in space and time that compares the actual occurrence of clusters with their background incidence. (cdc.gov)
  • OBJECTIVE: This study explored the usefulness of cluster analysis in identifying food choice patterns of three groups of adults in relation to their energy intake. (lu.se)
  • Therefore, there is a need of an objective methodology helping researchers in their decisions during cluster analysis . (bvsalud.org)
  • The objective of this study was to use such a methodology based on stability of clustering solutions to select the most appropriate clustering method and number of clusters for describing dietary patterns in the NESCAV study ( Nutrition , Environment and Cardiovascular Health ), a large population -based cross-sectional study in the Greater Region (N = 2298). (bvsalud.org)
  • We use simulated data to study the consequences of aggregated analysis (i.e., analysis ignoring clustering) on factor analytic estimates (both exploratory factor analysis (EFA) and confirmatory factor analysis (CFA)) and fit indices when the data are clustered. (cam.ac.uk)
  • Cluster analysis is a flexible, exploratory, person-centered technique that groups cases (often individuals) into clusters. (sagepub.com)
  • We present an analysis of multi-aligned eukaryotic and procaryotic small subunit rRNA sequences using a novel segmentation and clustering procedure capable of extracting subsets of sequences that share common sequence features. (aaai.org)
  • 4, 5 In this issue of the Annals , Reed suggests a convenient correction procedure to address clustered data. (annfammed.org)
  • DESIGN: Food frequency data were converted to percentage of total energy from 38 food groups and entered into a cluster analysis procedure. (lu.se)
  • To find out whether the cluster of failures could have been related to chance alone, to variability of risk factors across time, or to suboptimal performance, we conducted the following analyses: First, identification of trends with the cumulative sum procedure was undertaken and actual mortality compared with the mortality predicted from an equation derived from a multi-institutional study. (nih.gov)
  • However, since an analysis session typically includes multiple SUDAAN procedure calls with the same input dataset, it is generally more computationally efficient to sort the dataset once, prior to running any SUDAAN procedures. (cdc.gov)
  • When you specify this option, the procedure computes variance estimates by analyzing the non-missing analysis values as a domain (subpopulation), where the entire population includes both non-missing and missing domains. (cdc.gov)
  • One-way analysis of variance and chi 2 analysis were then performed to compared the weight status, nutrient intakes, and demographics of the food patterns. (lu.se)
  • Clustering solutions were obtained with K-means, K-medians and Ward's method and a number of clusters varying from 2 to 6. (bvsalud.org)
  • We recently reported the usefulness of applying mathematical models ( i.e. principal component and cluster analyses) to multiple variables for the identification of clinical phenotypes in a cohort of COPD subjects [ 4 ]. (ersjournals.com)
  • These original analyses allowed the description of four COPD groups, which we called "clinical COPD phenotypes" [ 4 ]. (ersjournals.com)
  • These authors suggested that, before being referred to as clinical phenotypes, clusters of related patients require longitudinal validation to determine how they differ with respect to important clinical outcomes [ 2 ]. (ersjournals.com)
  • This cluster analysis identified tinct phenotypes, which differed in clinical presentation, response to therapy, and survival. (uni-koeln.de)
  • Besides the term clustering, there is a number of terms with similar meanings, including automatic classification, numerical taxonomy, botryology (from Greek βότρυς "grape"), typological analysis, and community detection. (wikipedia.org)
  • Cluster analysis was originated in anthropology by Driver and Kroeber in 1932 and introduced to psychology by Joseph Zubin in 1938 and Robert Tryon in 1939 and famously used by Cattell beginning in 1943 for trait theory classification in personality psychology. (wikipedia.org)
  • The focus has mainly been on classification, clustering, query by content and relationship finding. (witpress.com)
  • Cluster analysis finds useful groups when the groupings are used as inputs into another process (e.g., classification). (tdwi.org)
  • The weaker "clusterability axiom" (no cycle has exactly one negative edge) yields results with more than two clusters, or subgraphs with only positive edges. (wikipedia.org)
  • This takes little RAM, allowing you to cluster a large number of genes, but the clustering results could be inferior to those obtained with e.g. average linkage. (lu.se)
  • The results showed that cluster integration in the Ward linkage method with path analysis was the best method, by comparing the coefficient of determination. (frontiersin.org)
  • The results of determining many clusters with different linkages will certainly give different results. (frontiersin.org)
  • Results: A total of 27 cases were found in this cluster epidemic, including 25 confirmed cases, 1 suspected case (index case) and 1 asymptomatic carrier. (unboundmedicine.com)
  • RESULTS: Six food pattern clusters were identified. (lu.se)
  • We will present first a short review of the main stochastic effects, then results based on the analysis of synthetic star clusters, as well as an application to star clusters in a star forming galaxy. (ucsb.edu)
  • All Project participants fall in the expected clusters, so there is no need to report any individual clustering results. (blogspot.com)
  • The results show that ignoring clustering in the data leads to serious underestimation of the factor loadings and item thresholds in ordinal IRT treatment of rating data. (cam.ac.uk)
  • 2002) and between bands suggested by us are used for clustering and the results compared with those obtained with the Euclidean and the lower bound of the dynamic time warping distance defined in Keogh. (witpress.com)
  • Analyzing economies by their e-friction scores and their per capita GDP results in eight clusters, split into three groups by income levels. (goldsteinreport.com)
  • With visualization techniques such as scatter plots and dendrograms, businesses can effortlessly showcase their cluster analysis results in a clear and understandable way. (adobe.com)
  • Introduction: The results of a 2001-2005 polycythemia vera (PV) investigation in Eastern Pennsylvania revealed a disease cluster plus underreporting and false reporting to the Pennsylvania Cancer Registry (PCR). (cdc.gov)
  • parameter is included in the request the servlet will only return clusters that has that configuration option. (lu.se)
  • Four clusters emerged with statistically different systolic and diastolic blood pressure and heart rate reactivity patterns. (stir.ac.uk)
  • In this work, patterns of technical analysis, like those defined in Lo et al. (witpress.com)
  • The main benefit of cluster analysis is that it allows businesses to uncover patterns and relationships within their data, enabling them to make informed decisions and take action based on real-time insights. (adobe.com)
  • Stability-based validation of dietary patterns obtained by cluster analysis. (bvsalud.org)
  • Many existing computational approaches are limited in their ability to process large-scale data sets, to deal effectively with sample heterogeneity, or require subjective user-defined analysis parameters. (nature.com)
  • Common among many of these approaches is the selection of analysis parameters, which can lead to a suboptimal interpretation of the data, for example, when points are clustered at a different spatial scale to the one used for assessment or when points are not homogeneously clustered. (nature.com)
  • The multi-disciplinary and high-quality data collected from HFTS-2 helped to further understand why completion approaches such as limited entry and tapered perforation design are successful in improving cluster efficiency. (onepetro.org)
  • Health departments can also develop their own approaches to time-space analysis. (cdc.gov)
  • There are different approaches to analyzing molecular data to identify clusters, and not all focus on identifying rapid transmission. (cdc.gov)
  • Neural models: the most well known unsupervised neural network is the self-organizing map and these models can usually be characterized as similar to one or more of the above models, and including subspace models when neural networks implement a form of Principal Component Analysis or Independent Component Analysis. (wikipedia.org)
  • In this paper, we consider clustering based on principal component analysis (PCA) for high-dimension, low-sample-size (HDLSS) data. (arxiv.org)
  • So, this study uses the cluster integration with path analysis method by comparing the linkage. (frontiersin.org)
  • HIV cluster detection identifies communities affected by rapid HIV transmission . (cdc.gov)
  • Time-space analysis identifies increases in HIV diagnoses in a particular geographic area or population. (cdc.gov)
  • Secure HIV-TRACE identifies national priority clusters and other concerning clusters. (cdc.gov)
  • Gender analysis identifies, analyses, and informs action to address inequalities that arise from the different roles of women and men, or the unequal power relationships between them, and the consequences of these inequalities on their lives, their health and well-being. (who.int)
  • Find clusters of DNA sequences based on their global similarity to two reference sequences. (wolfram.com)
  • Low morbidity jurisdictions (areas that have low numbers of HIV diagnoses) may conduct analyses as needed when new diagnoses or molecular sequences are reported. (cdc.gov)
  • Upload an old survey or launch and Akin survey to see your data driven clusters in minutes. (alternativeto.net)
  • Cluster analysis is a data-driven method used to create clusters of individuals sharing similar dietary habits . (bvsalud.org)
  • Any changes we detect between conditions will subsequently represent differences in the proportion of cells in each cluster. (bioconductor.org)
  • A gender analysis is an examination of the relationships and role differences between women and men, it is the first step of mainstreaming. (who.int)
  • The purpose of cluster analysis in marketing is to segment consumers into distinct groups with similar characteristics, allowing businesses to understand their target audience better and tailor their marketing strategies accordingly. (adobe.com)
  • With customer segmentation at the heart of modern marketing, cluster analysis has become an essential tool for dividing customers into distinct groups based on shared characteristics. (adobe.com)
  • Definition, Background, and Characteristics of Clusters As used in these guidelines, the term 'cluster' is an unusual aggregation, real or perceived, of health events that are grouped together in time and space and that are reported to a health agency. (cdc.gov)
  • A solution can be found in model-based cluster analysis, such as Bayesian inference 7 , where cluster analysis outputs are scored against a model of clustering, allowing the best-scoring set of analysis parameters to be selected. (nature.com)
  • We conducted a cluster-randomized clinical trial to evaluate the effect of the intervention versus usual care on completing key steps toward receiving a kidney transplant. (ices.on.ca)
  • Clinical providers or community members may help identify HIV clusters. (cdc.gov)
  • In research, data for analysis come principally from two sources: directly from the respondents themselves and from interviewers/raters. (cam.ac.uk)
  • Conclusions: The infection source of this cluster epidemic was a suspected case from Wuhan. (unboundmedicine.com)
  • Molecular analysis of the fibrinogen gene cluster in 16 patients with congenital afibrinogenemia: novel truncating mutations in the FGA and FGG genes. (medlineplus.gov)
  • The incidence of such clusters was compared to the incidence that would be expected by chance by using space-time nearest-neighbor analysis of 4,887 confirmed invasive meningococcal cases identified in the 9-year surveillance period 1993-2001 in the Netherlands. (cdc.gov)
  • Outbreaks are recognized when place (e.g., an educational institution like a primary school), time (e.g., within 1 month), and conventional phenotypic markers (same serogroup, serotype, and subtype) make a connection likely (field cluster) or when an excess of incidence (e.g., 20x normal) is noticed in a retrospectively specified geographic or population area within a chosen period (community outbreak). (cdc.gov)
  • The DAS data combined with downhole high-resolution pressure measurements also helped to quantify the effect of lower cluster efficiency data on the incidence and intensity of FDIs. (onepetro.org)
  • The analyses were conducted to determine sensitivity and positive predictive value (PPV) of case reporting to the PCR, estimate cancer incidence rates, and evaluate the presence of cancer clusters. (cdc.gov)
  • The orbital parameters suggest that the cluster is currently confined within the bulge volume when we consider a heliocentric distance of 8:54 ± 0:19 kpc and an extinction coefficient of RV = 2:84 ± 0:02. (lu.se)
  • In such cluster-randomized designs, all patients of a clinician or practice are assigned to the same treatment, and this design is often used when logistics of implementation or the need to avoid contamination of treatment arms is a priority. (annfammed.org)
  • Health departments should respond to all national priority clusters. (cdc.gov)
  • A major issue in the analysis of clustered data is that observations within a cluster are not independent, and the degree of similarity is typically measured by the intracluster correlation coefficient (ICC). (annfammed.org)
  • Considering an example of data with patients clustered with physicians, a comprehensive multilevel data analysis aims to assess the direct effect of patient and clinician/practice level variables on the outcome. (annfammed.org)
  • Retrospective risk factor analysis suggested an excessive risk for patients with origin of the circumflex or left anterior descending coronary arteries from sinus 2 and a protective effect of phenoxybenzamine. (nih.gov)
  • Patients in Cluster 1 had a better response to PAH treatment than patients in the 2 other clusters. (uni-koeln.de)
  • As the clustering values can depend strongly on the overall density and arrangement of points, it is likely that the appropriate threshold for one image will be unsuitable for the next. (nature.com)
  • Time-space increases need further investigation because they may indicate one large cluster, many small clusters, or an increase in HIV testing that has led to new diagnoses of older infections. (cdc.gov)
  • Quantifying the extent to which points are clustered in single-molecule localization microscopy data is vital to understanding the spatial relationships between molecules in the underlying sample. (nature.com)
  • Clusters are recognized when meningococcal cases of the same phenotypic strain (markers: serogroup, serotype, and subtype) occur in spatial and temporal proximity. (cdc.gov)
  • A group of unrelated cases that occur in temporal and spatial proximity may be misinterpreted as a cluster or outbreak, but these cases would not justify additional public health measures, except perhaps to reassure the public. (cdc.gov)
  • In a real cluster, cases of the same strain occur in temporal and spatial proximity at a higher frequency than by chance. (cdc.gov)
  • We focus here on the first application of the Curlometer (direct estimation of the electric current density from curl(B), using measured spatial gradients of the magnetic field) analysis technique. (esa.int)
  • This is due to the stochastic mass distribution of the finite (small) number of luminous stars in each cluster, stars which may be either particularly blue or particularly red. (ucsb.edu)
  • This confirms that Gaia 1 is rather a massive and luminous open cluster than a low-mass globular cluster. (aanda.org)
  • Based on Monte-Carlo simulations, we explore the distributions of acceptable properties of star clusters with a given photometry. (ucsb.edu)
  • We derived chemical abundances and kinematic and dynamic properties by gathering information from high-resolution spectroscopy with FLAMES-UVES, photometry with the Hubble Space Telescope, and Galactic dynamic calculations applied to the globular cluster NGC 6355. (lu.se)
  • Analyses should include time-space and molecular cluster detection. (cdc.gov)
  • CDC has provided Secure HIV-TRACE, a secure, web-based application for health departments to use for molecular cluster detection. (cdc.gov)
  • Numerous related issues--such as the epidemiologic workup of infectious disease outbreaks, the assessment of the health effects of environmental exposures, the prospective detection of clusters, and the investigation of interpersonal networks--are not addressed. (cdc.gov)
  • Subsequently, at regular intervals (the "steps") one cluster (or a group of clusters) is randomised to cross from the control to the intervention under evaluation. (bmj.com)
  • 1 Ignoring the intracluster correlation in the analysis could lead to incorrect P values, confidence intervals that are too small, and biased estimates and effect sizes, all of which can lead to incorrect interpretation of associations between variables. (annfammed.org)
  • The stepped wedge cluster randomised trial is a novel research study design that is increasingly being used in the evaluation of service delivery type interventions. (bmj.com)
  • In a stepped wedge design more clusters are exposed to the intervention towards the end of the study than in its early stages. (bmj.com)
  • The stepped wedge cluster randomised controlled trial is a relatively new study design that is increasing in popularity. (bmj.com)
  • At the end of the study there will be a period when all clusters are exposed. (bmj.com)
  • Data collection continues throughout the study, so that each cluster contributes observations under both control and intervention observation periods. (bmj.com)
  • The Gambia hepatitis intervention study used a stepped wedge cluster randomised design in the 1980s to investigate the effectiveness of a vaccine for hepatitis B in preventing liver disease. (bmj.com)
  • In addition to using cluster analysis, this study also uses path analysis. (frontiersin.org)
  • A special case of clustered data is an intervention study where clinicians or practices are randomized into an intervention or control group. (annfammed.org)
  • Star clusters in our Milky Way are excellent testbeds in which to study the formation, evolution, and structure of the underlying Galactic components. (aanda.org)
  • A cross-sectional study was conducted to identify subgroups of Korean immigrant women based on their Korean as well as American acculturation levels using cluster analysis and to determine whether these subgroups differ on depressive symptoms in 200 Korean immigrant women aged 20-64. (cdc.gov)
  • Purpose: The objectives of this study were 1) to assess PV reporting to the PCR in 2006-2009, 2) to determine whether a cancer cluster persisted, and 3) to determine whether other myeloproliferative neoplasms (MPNs), including essential thrombocytopenia (ET), were subject to similar reporting problems. (cdc.gov)
  • Sample size calculations and analysis must make allowance for both the clustered nature of the design and the confounding effect of time. (bmj.com)
  • For a DA analysis of cluster abundances, filtering is generally not required as most clusters will not be of low-abundance (otherwise there would not have been enough evidence to define the cluster in the first place). (bioconductor.org)
  • Also in this issue, the article by Killip et al 7 provides a formula to compute an effective sample size for clustered data. (annfammed.org)
  • Companies in Life Sciences have been able to provision additional compute capacity on the fly as needed while keeping their costs much lower than maintaining a cluster in their data center, enabling them to compete effectively with much larger competitors. (insidehpc.com)
  • This whitepaper, "Hybrid Cloud with Bright Cluster Manager," from our friends over at Bright Computing discusses how hybrid cloud infrastructures allow organizations to strategically manage their compute requirements from core data center to public cloud and edge, but they are very complex to build and manage. (insidehpc.com)
  • Today Amazon CTO Werner Vogels announced on his blog that Amazon EC2 has added what it is calling Cluster Compute instances specifically to support the kinds of closely coupled workloads that traditional HPC users often run. (insidehpc.com)
  • Cluster Computer Instances are similar to other Amazon EC2 instances but have been specifically engineered to provide high performance compute and networking. (insidehpc.com)
  • Cluster Compute Instances can be grouped as cluster using a "cluster placement group" to indicate that these are instances that require low-latency, high bandwidth communication. (insidehpc.com)
  • Next, Cluster Compute Instances are specified down to the processor type so developers can squeeze optimal performance out of them using compiler architecture-specific optimizations. (insidehpc.com)
  • Many of our scientific research areas require high-throughput, low-latency, interconnected systems where applications can quickly communicate with each other, so we were happy to collaborate with Amazon Web Services to test drive our HPC applications on Cluster Compute Instances for Amazon EC2," said Keith Jackson, a computer scientist at the Lawrence Berkeley National Lab. (insidehpc.com)
  • In our series of comprehensive benchmark tests, we found our HPC applications ran 8.5 times faster on Cluster Compute Instances for Amazon EC2 than the previous EC2 instance types. (insidehpc.com)
  • CDC provides software programs that health departments can use or adapt for routine analyses. (cdc.gov)
  • This list can be plotted and rasterized for examination with conventional image analysis tools, but an ideal method would operate on the original coordinate data without requiring its transformation. (nature.com)
  • The output can be further refined for the measurement of cluster area, shape, and point-density. (nature.com)
  • Health agencies should understand the potential legal ramifications of reported clusters, how risks are perceived by the community, and the influence of the media on that perception. (cdc.gov)
  • This whitepaper, "Bright Computing Cluster as a Service for VMware," from Bright Computing discusses how through advanced automation, Bright Cluster Manager eliminates the complexity of building and managing high-performance Linux clusters, enabling greater organizational efficiency and flexibility. (insidehpc.com)
  • Standard deviation from ideal fluid/sand distribution and waterfall plots were used to evaluate cluster efficiency for each design and stage. (onepetro.org)
  • Pressure response vs. FDIs trigger factors such distance, cluster efficiency and stage fluid volume were also analyzed. (onepetro.org)
  • Extreme limited entry showed the potential of high perforation erosion and reduced cluster efficiency. (onepetro.org)
  • The limited entry and tapered perforation design demonstrated potential to improve the cluster efficiency for extended stage lengths. (onepetro.org)
  • Some of these stages that produced high intensity FDIs also had high fluid volume per cluster and low cluster efficiency. (onepetro.org)
  • Nonparametric efficiency analysis has become a widely applied technique to support industrial benchmarking as well as a variety of incentive- based regulation policies. (repec.org)
  • Members of the apolipoprotein gene cluster (APOA1/C3/A4/A5) on human chromosome 11q23 play an important role in lipid metabolism. (doe.gov)