Stata 11 help for clustermat

help clustermat -------------------------------------------------------------------------------

Title

[MV] clustermat -- Introduction to clustermat commands

Syntax

clustermat linkage matname ...

linkage description ------------------------------------------------------------------------- singlelinkage single-linkage cluster analysis averagelinkage average-linkage cluster analysis completelinkage complete-linkage cluster analysis waveragelinkage weighted-average linkage cluster analysis medianlinkage median-linkage cluster analysis centroidlinkage centroid-linkage cluster analysis wardslinkage Ward's linkage cluster analysis ------------------------------------------------------------------------- See [MV] cluster linkage.

clustermat stop has similar syntax to that of cluster stop; see [MV] cluster stop. For the remaining postclustering subcommands and user utilities, you may specify either cluster or clustermat -- it does not matter which.

Description

clustermat performs hierarchical cluster analysis on the dissimilarity matrix matname. clustermat is part of the cluster suite of commands; see > [MV] cluster. All Stata hierarchical clustering methods are allowed with clustermat. The partition-clustering methods (kmeans and kmedians) are not allowed because they require the data.

See [MV] cluster for a listing of all the cluster and clustermat commands. The cluster dendrogram command ([MV] cluster dendrogram) will display the resulting dendrogram, the clustermat stop command (see [MV] clustermat stop) will help in determining the number of groups, and the cluster generate command (see [MV] cluster generate) will produce grouping variables. Other useful cluster subcommands include notes, dir, list, drop, use, rename, and renamevar; see [MV] cluster notes and [MV] cluster utility.

Examples

Setup . webuse wclub . matrix dissimilarity clubD = , variables Jaccard dissim(oneminus)

Examine portion of dissimilarity matrix . matlist clubD[1..5, 1..5]

Perform single linkage heirarchical clustering, clearing dataset in memory . clustermat singlelinkage clubD, name(singlink) clear . cluster dendrogram singlink

Perform Ward's linkage heirarchical clustering, adding to results in memory . clustermat wardslinkage clubD, name(wardslink) add . cluster dendrogram wardslink

Also see

Manual: [MV] clustermat

Help: [MV] cluster, [MV] cluster programming utilities


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