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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_kmeanscolor2 </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_kmeanscolor2 </H1><P><B> [color,centroids]=som_kmeanscolor2(mode,sM,C,initRGB,contrast,R)</B></P><PRE> SOM_KMEANSCOLOR2 Color codes a SOM according to averaged or best K-means clustering color = som_kmeanscolor2('average',sM, C, [initRGB], [contrast],[R]) color=som_kmeanscolor2('average',sM,[2 4 8 16],som_colorcode(sM,'rgb1'),'enhanced'); [color,centroid]=som_kmeanscolor2('best',sM,15,[],'flat',R); Input and output arguments ([]'s are optional): mode (string) 'average' or 'best', defalut: 'average' sM (struct) a map struct C (vector) number of clusters [initRGB] (string, matrix) a color code string accepted by SOM_COLORCODE or an Mx3 matrix of RGB triples, where M is the number of map units. Default: SOM_COLORCODEs default [contrast] (string) 'flat', 'enhanced' color contrast mode, default: 'enhanced'. [R] (scalar) number of K-means trials, default: 30. color (matrix) Mx3xC of RGB triples centroid (array of matrices) centroid{i} includes codebook for the best k-means for C(i) clusters, i.e. the cluster centroids corresponding to the color code color(:,:,i). The function gives a set of color codes for the SOM according to K-means clustering. It has two operation modes: 'average': The idea of coloring is that the color of the units belonging to the same cluster is the mean of the original RGB values (see SOM_COLORCODE) of the map units belonging to the cluster (see SOM_CLUSTERCOLOR). The K-means clustering is made, by default, 30 times and the resulting color codes are averaged for each specified number of clusters C(i), i=1,...,k. In a way, the resulting averaged color codes reflect the stability of the K-means clustering made on the map units. 'best': runs the k-means R times for C(i), i=1,...,n clusters as in previous mode, but instead of averaging all the R color codes, it picks the one that corresponds to the best k-means clustering for each C(i). The 'best' is the one with the lowest quantization error. The result may differ from run to run. EXAMPLE load iris; % or any other map struct sM color=som_kmeanscolor2('average',sM,[2:6]); som_show(sM,'umat','all','color',color); See also SOM_KMEANS, SOM_SHOW, SOM_COLORCODE, SOM_CLUSTERCOLOR, SOM_KMEANSCOLOR</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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