Transcription of cluster — Introduction to cluster-analysis commands
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cluster — Introduction to cluster-analysis commands
Introduction to cluster - analysis commandsSyntaxDescriptionRemarks and examplesReferencesAlso seeSyntaxCluster analysis of analysis of a dissimilarity s cluster - analysis routines provide several hierarchical and partition clustering methods,postclustering summarization methods, and cluster -management tools. This entry presents an overviewof cluster analysis , theclusterandclustermatcommands (also see [MV]clustermat), as wellas Stata s cluster - analysis management tools. The hierarchical clustering methods may be applied tothe data by using theclustercommand or to a user-supplied dissimilarity matrix by using has the followingsubcommands, which are detailed in their respectivemanual methods for observationskmeans[MV] cluster kmeans and kmediansKmeans cluster analysiskmedians[MV] cluster kmeans and kmediansKmedians cluster analysisHierarchical clustering methods for observationssinglelinkage[MV] cluster linkageSingle-linkage cluster analysisaveragelinkage[MV] cluster linkageAverage-linkage cluster analysiscompletelinkage[MV] cluster linkageComplete-linkage cluster analysiswaveragelinkage[MV] cluster linkageWeighted-average linkage clust
Also, most cluster-analysis methods allow a variety of distance measures for determining the similarity or dissimilarity between observations. Some of the measures do not meet the requirements to be called a distance metric, so we use the more general term “dissimilarity measure” in place of distance.
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