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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_kmeanscolor </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_kmeanscolor </H1><P><B> [color,best,kmeans]=som_kmeanscolor(sM,C,initRGB,contrast)</B></P><PRE> SOM_KMEANSCOLOR Map unit color code according to K-means clustering color = som_kmeanscolor(sM, C, [initRGB], [contrast]) color = som_kmeanscolor(sM,15,som_colorcode(sM,'rgb1'),'enhance'); [color,best] = som_kmeanscolor(sM,15,[],'normal'); Input and output arguments ([]'s are optional): sM (struct) map struct C (scalar) maximum number of clusters initRGB (string, matrix) 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' color (matrix) MxCx3 of RGB triples best (scalar) index for "best" clustering according to Davies-Boulding index; color(:,:,best) includes the corresponding color code. kmeans (cell) output of KMEANS_CLUSTERS in a cell array. The function gives a set of color codings according to K-means clustering. For clustering, it uses function KMEANS_CLUSTERS for map units, and it calculates color codings for 1,2,...,C clusters. The idea of coloring is that the color of a cluster is the mean of the original colors (RGB values) of the map units belonging to that cluster, see SOM_CLUSTERCOLOR. The original colors are defined by SOM_COLORCODE by default. Input 'contrast' simply specifies whether or not to linearly redistribute R,G, and B values so that minimum is 0 and maximum 1 ('enahanced') or to use directly the output of SOM_CLUSTERCOLOR ('flat'). KMEANS_CLUSTERS uses certain heuristics to select the best of 5 trials for each number of clusters. Evaluating the clustering multiple times may take some time. EXAMPLE load iris; % or any other map struct sM [color,b]=som_kmeanscolor(sM,10); som_show(sM,'color',color,'color',{color(:,:,b),'"Best clustering"'); See also SOM_SHOW, SOM_COLORCODE, SOM_CLUSTERCOLOR, KMEANS_CLUSTERS</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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