• neural networks
  • 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)
  • Labels
  • We can visualize the result of running it by turning the object to a dendrogram and making several adjustments to the object, such as: changing the labels, coloring the labels based on the real species category, and coloring the branches based on cutting the tree into three clusters. (r-project.org)
  • exploratory
  • This analysis technique is typically performed during the exploratory phase of research, since unlike techniques such as factor analysis , it doesn't make any distinction between dependent and independent variables. (surveygizmo.com)
  • dataset
  • It's been a while since the last Clusters Galore analysis, so I've decided to use my recently assembled dataset and run such an analysis over the individuals who belonged to the Six main West Eurasian components. (blogspot.com)
  • You can check whether individuals have been removed from the original dataset by comparing sample sizes in the Clusters Galore spreadsheet with the K12a one . (blogspot.com)
  • Protocols
  • where he developed experimental protocols, conducted data analysis, as well as designed and built low noise instrumentation for a variety of psycho physiological and physical experiments. (wikipedia.org)
  • representative
  • Hence, results are not representative for them, and simply indicate the cluster assignment of their subsets that do meet the threshold. (blogspot.com)
  • if a sequence is not matched then it becomes the representative sequence for a new cluster. (wikipedia.org)
  • Determining a representative tertiary structure for each sequence cluster is the aim of many structural genomics initiatives. (wikipedia.org)
  • find
  • company to better position itself, explore new markets, and development products that specific clusters find relevant and valuable. (surveygizmo.com)
  • different
  • From a phase-averaged analysis of the statistics of cluster content and inter - cluster transitions, we show that CCV can be associated with different sets of trajectories during the second half of the compression phase. (springer.com)
  • The goal of performing a cluster analysis is to sort different objects or data points into groups in a manner that the degree of association between two objects is high if they belong to the same group, and low if they belong to different groups. (surveygizmo.com)
  • This approach is useful when testing different models with a different assumed number of clusters. (surveygizmo.com)
  • The cluster totals for the different populations can be seen in the spreadsheet . (blogspot.com)
  • include
  • How realistic is it to include more than 5% Negroid-admixed populations and individuals in this analysis (Mozabites are the most obvious example) if analyzing exclusively people more than 95% Caucasoid is your aim? (blogspot.com)
  • Typical cluster models include: Connectivity models: for example, hierarchical clustering builds models based on distance connectivity. (wikipedia.org)
  • groups
  • If these groups are defined clearly, a marketing team can then target varying cluster with tailored, targeted communication. (surveygizmo.com)
  • identify
  • In this paper, we suggest a means of using available information on national interindustry linkages to identify potential clusters in subnational areas. (repec.org)
  • small
  • The resulting motion forms small clusters of small plumes right above the core-mantle boundary that combine to form larger plumes and then contribute to superplumes. (wikipedia.org)
  • development
  • A growing number of cities, states and regions in Europe, North America and elsewhere are designing development strategies around strategic clusters of industries. (repec.org)
  • Jeffrey Owen Katz (born 1950) is an American scientist best known for his pivotal contribution to the field of factor analysis and his development of innovative AI (artificial intelligence) tools. (wikipedia.org)