📄 som_dmatclusters.html
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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_dmatclusters </title></head><body bgcolor=#f0f0f0><table border=0 width="100%" cellpadding=0 cellspacing=0><tr><td valign=baseline><font size=+2>SOM Toolbox</font></td><td valign=baseline align=center><a href="somtoolbox.html">Online documentation</td><td valign=baseline align=right><a href="http://www.cis.hut.fi/projects/somtoolbox/" target="_top">http://www.cis.hut.fi/projects/somtoolbox/</a></td></tr></table><hr><H1> som_dmatclusters </H1><P><B> [base,seed] = som_dmatclusters(sM,linkage,neigh,ignore)</B></P><PRE> SOM_DMATCLUSTERS Cluster map based on neighbor distance matrix. base = som_dmatclusters(sM,linkage,neigh,ignore) sM (struct) map or data struct (matrix) data matrix, size n x dim [linkage] (string) 'closest', 'single', 'average', 'complete', 'centroid', 'ward', and 'neighf' (last for SOM only) default is 'centroid' [neigh] (string) 'kNN' or 'Nk' (which is valid for a SOM only) for example '6NN' or 'N1' default is '10NN' for a data set and 'N1' for SOM (matrix) 0/1 matrix of size size n x n, 1=connection exists [ignore] (vector) indeces of vectors to be ignored in the spreading phase, empty vector by default base (vector) size n x 1, cluster indeces (1...c) seed (vector) size c x 1, indeces of seed units for the clusters See also SOM_NEIGHBORS, KMEANS_CLUSTERS, SOM_DMATMINIMA.</PRE><p><hr><br><center>[ <a href="somtoolbox.html">SOM Toolbox online doc</a> ]</center><br><!-- Last updated: May 30 2002 --></body></html>⌨️ 快捷键说明
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