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*  Ancestral reconstruction
Using this analysis, the team around Lemey found that the most likely hub of diffusion of A-H5N1 is Guangdong, with Hong Kong ... Phylogenies relating 67 different protein families were generated by a distance-based clustering method (unweighted pair group ... In an analysis of the body mass of 1,679 placental mammal species comparing stable models of continuous character evolution to ... EREM analyses the gain and loss of genetic features encoded by binary characters. PARANA performs parsimony based inference of ...
*  ParaHox
2008). "Do cnidarians have a ParaHox cluster? Analysis of synteny around a Nematostella homeobox gene cluster". Evolution & ... The ParaHox gene cluster has been proposed to be a paralogue, or evolutionary sister, of the Hox gene cluster; the two gene ... are physically linked to form a human ParaHox gene cluster on chromosome 13. Mouse has a homologous ParaHox gene cluster on ... "The ParaHox gene cluster is an evolutionary sister of the Hox gene cluster". Nature. 392 (6679): 920-922. doi:10.1038/31933. ...
*  Molecular phylogenetics
... the resulting triangular matrix of differences is submitted to some form of statistical cluster analysis, and the resulting ... Typical molecular systematic analyses require the sequencing of around 1000 base pairs. At any location within such a sequence ... The result of a molecular phylogenetic analysis is expressed in a phylogenetic tree. Molecular phylogenetics is one aspect of ... In a molecular systematic analysis, the haplotypes are determined for a defined area of genetic material; a substantial sample ...
*  Gene expression profiling in cancer
Survival analyses are often shown as Kaplan-Meier survival plots, an example of which is shown to the right. In addition to ... A hierarchical clustering algorithm was used to group cell lines based on the similarity by which the pattern of gene ... The tumors were clustered into two major groups that largely reflected the ER-positive and ER-negative clinical descriptions. ... The hierarchical clustering algorithm identified a subset of tumors that would have been labeled DLBCLs by traditional ...
*  Gene chip analysis
Hierarchical clustering, and k-means clustering are widely used techniques in microarray analysis. Hierarchical clustering is a ... a new distance matrix between the newly formed clusters and the other clusters is recalculated. Hierarchical cluster analysis ... Statistical analysis plays a vital role in identifying genes that are expressed at statistically significant levels. Clustering ... GeneChip® Expression Analysis-Data Analysis Fundamentals (by Affymetrix)http://mmjggl.caltech.edu/microarray/data_analysis_ ...
*  Gene expression profiling
Therefore, gene set analysis is considered a knowledge based analysis approach. Commonly used gene sets include those derived ... The figure above represents the output of a two dimensional cluster, in which similar samples (rows, above) and similar gene ... Different from the analysis on differentially expressed individual genes, another type of analysis focuses on differential ... Gene set analysis demonstrated several major advantages over individual gene differential expression analysis. Gene sets are ...
*  Cluster analysis
Subspace models: in biclustering (also known as co-clustering or two-mode-clustering), clusters are modeled with both cluster ... Cluster analysis or clustering is the task of grouping a set of objects in such a way that objects in the same group (called a ... alternative clustering, multi-view clustering): objects may belong to more than one cluster; usually involving hard clusters ... each object belongs to a cluster or not Soft clustering (also: fuzzy clustering): each object belongs to each cluster to a ...
*  Mark Aldenderfer
Cluster Analysis. Beverly Hills, CA: Sage Publications. ISBN 0-8039-2376-7. Aldenderfer, Mark S. (1993). "Ritual, Hierarchy, ...
*  Pågen
"Bread loves Health - Pågen". Cluster analysis. Øresund Food Network. 21 January 2008. Retrieved 2010-02-05. "The Florentine ...
*  JEL classification codes
Cluster Analysis • Principal Components • Factor Models C39 Other C4 Econometric and Statistical Methods: Special Topics C40 ... O1 Economic Development O10 General O11 Macroeconomic Analyses of Economic Development O12 Microeconomic Analyses of Economic ... Prices Q12 Micro Analysis of Farm Firms, Farm Households, and Farm Input Markets Q13 Agricultural Markets and Marketing • ... Spatial Production Analysis, and Firm Location R30 General R31 Housing Supply and Markets R32 Other Spatial Production and ...
*  Single-linkage clustering
Gower, J. C.; Ross, G. J. S. (1969), "Minimum spanning trees and single linkage cluster analysis", Journal of the Royal ... The clusters are then sequentially combined into larger clusters, until all elements end up being in the same cluster. At each ... Increment the sequence number: m = m + 1. Merge clusters (r) and (s) into a single cluster to form the next clustering m. Set ... It is based on grouping clusters in bottom-up fashion (agglomerative clustering), at each step combining two clusters that ...
*  Euclidean distance
"Cluster analysis". March 2, 2011. ...
*  Sequence clustering
Cluster analysis "USEARCH". drive5.com. "CD-HIT: a ultra-fast method for clustering protein and nucleotide sequences, with many ... DNA clustering package with many algorithms useful for artifact discovery or EST clustering Virus Orthologous Clusters: A viral ... Sequence clustering is often used to make a non-redundant set of representative sequences. Sequence clusters are often ... Some clustering algorithms use single-linkage clustering, constructing a transitive closure of sequences with a similarity over ...
*  Complete-linkage clustering
Brian S. Everitt; Sabine Landau; Morven Leese (2001). Cluster Analysis (Fourth ed.). London: Arnold. ISBN 0-340-76119-9. ... The clusters are then sequentially combined into larger clusters until all elements end up being in the same cluster. At each ... In complete-linkage clustering, the link between two clusters contains all element pairs, and the distance between clusters ... Increment the sequence number: m = m + 1. Merge clusters (r) and (s) into a single cluster to form the next clustering m. Set ...
*  Jeffrey Owen Katz
Functionpoint cluster analysis. Systematic Zoology, September 1973, Vol. 22, No. 3, pp. 295-301. Katz is fluent in written and ... Jeffrey Owen Katz (born 1950) is an American scientist best known for his pivotal contribution to the field of factor analysis ... Katz, Jeffrey Owen, and McCormick, Donna L. (May 1998). "Using Barrier Stops in Exit Strategies." Technical Analysis of Stocks ... Katz, Jeffrey Owen, and McCormick, Donna L. (November 1997). "Adding the Human Element to Neural Nets." Technical Analysis of ...
*  Quantitative genetics
Cluster analysis for applications. New York: Academic Press. Mendel, Gregor (1866). "Versuche über Pflanzen Hybriden". ... Such coefficients are used particularly in regression analysis. A standardized version of regression analysis is path analysis ... analysis is more informative, and that a "Fisher" analysis can always be constructed from it. The opposite conversion is not ... Path analysis demonstrates that these are tantamount to the same thing. Arising from this background, the inbreeding ...
*  Functional somatic syndrome
An answer by cluster analysis". Journal of Psychosomatic Research. 74 (1): 6-11. doi:10.1016/j.jpsychores.2012.09.013. ISSN ... Some have proposed to group symptoms into clusters or into one general functional somatic disorder given the finding of ... A Systematic Review and Meta-Analysis". Psychosomatic medicine. 76 (1): 2-11. doi:10.1097/PSY.0000000000000010. ISSN 0033-3174 ...
*  Tse Wen Chang
Abu-Jamous, Basel; Fa, Rui; Nandi, Asoke K. (2015-04-16). Integrative Cluster Analysis in Bioinformatics. John Wiley & Sons. p ...
*  Anomaly detection
Instead, a cluster analysis algorithm may be able to detect the micro clusters formed by these patterns. Three broad categories ... Cluster analysis-based outlier detection. Deviations from association rules and frequent itemsets. Fuzzy logic based outlier ... ISBN 978-3-540-44123-6. He, Z.; Xu, X.; Deng, S. (2003). "Discovering cluster-based local outliers". Pattern Recognition ... Statistical Analysis and Data Mining. 5 (5): 363-387. doi:10.1002/sam.11161. Schölkopf, B.; Platt, J. C.; Shawe-Taylor, J.; ...
*  BacDive
Integrative Cluster Analysis in Bioinformatics. John Wiley & Sons. p. 448. Zhulin, I. B. (August 1, 2015). "Databases for ...
*  Indo-Aryan migration theory
based on clustering analysis." The "original mixture event of ANI and ASI" may have been the spread of Dravidian languages to ... 2004), based on the spread of a cluster of haplogroups (J2, R1a, R2, and L) in India, with higher rates in northern India, ... In 2016, publications are expected on DNA-analysis of Harappans, which may answer the question to which non-Indian populations ... 2009) excluded the Austro-Asiatic and Tibeto-Burman speakers from their analysis in order to avoid interference. Reich et al. ( ...
*  Large low-shear-velocity provinces
Lekic, V.; Cottaar, S.; Dziewonski, A. & Romanowicz, B. (2012). "Cluster analysis of global lower mantle". Earth and Planetary ... The resulting motion forms small clusters of small plumes right above the core-mantle boundary that combine to form larger ... The boundaries of these features appear fairly consistent across models when applying objective k-means clustering. The global ...
*  Core-mantle boundary
Geophysics EarthScope Lekic, V.; Cottaar, S.; Dziewonski, A. & Romanowicz, B. (2012). "Cluster analysis of global lower mantle ...
*  Rybka
View topic - Cluster analysis of similarity test. TalkChess.com (December 31, 2010). Retrieved on October 12, 2013. View topic ... Full chess analysis packages which include Rybka 4 will be made by ChessBase (www.chessbase.com) and Convekta/ChessOK (www. ... Vasik Rajlich has now released "Remote Rybka" which is a special version of Rybka (4+ or cluster) on very powerful hardware / ... Rybka Cluster - for the elite chess player. Rybkachess.com (February 1, 2011). Retrieved on October 12, 2013. "Another ...
*  Facility location problem
The techniques also apply to cluster analysis. A simple facility location problem is the Weber problem, in which a single ... EWGLA EURO Working Group on Locational Analysis. INFORMS section on location analysis, a professional society concerned with ... The study of facility location problems, also known as location analysis, is a branch of operations research and computational ... The approximation is referred to as the farthest-point clustering (FPC) algorithm, or farthest-first traversal. The algorithm ...
*  Elżbieta Pleszczyńska
... a science of applying copula and rank methods to problems of correspondence and cluster analysis together with outlier ... Grade Models and Methods for Data Analysis with Applications for the Analysis of Data Populations. Studies in Fuzziness and ... Grade Models and Methods for Data Analysis with Applications for the Analysis of Data Populations. Studies in Fuzziness and ... "Clustering Respondents in Clinical Databases Using Ordered Grade Clustering". In Bobrowski L.; Doroszewski J.; Victor N. ...
*  Glycoside hydrolase family 10
"Cellulase families revealed by hydrophobic cluster analysis". Gene. 81 (1): 83-95. doi:10.1016/0378-1119(89)90339-9. PMID ...