📄 som_eucdist2.html

📁 Kohonen的SOM软件包

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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_eucdist2 </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_eucdist2 </H1><P><B> d=som_eucdist2(Data, Proto)</B></P><PRE>SOM_EUCDIST2 Calculates matrix of squared euclidean distances between set of vectors or map, data struct d=som_eucdist2(D, P)  d=som_eucdist(sMap, sData);  d=som_eucdist(sData, sMap);  d=som_eucdist(sMap1, sMap2);  d=som_eucdist(datamatrix1, datamatrix2);  Input and output arguments ([]'s are optional):    D (matrix) size Nxd     (struct) map or data struct   P (matrix) size Pxd     (struct) map or data struct   d (matrix) distance matrix of size NxP  IMPORTANT * Calculates _squared_ euclidean distances * Observe that the mask in the map struct is not taken into account while    calculating the euclidean distance See also KNN, PDIST.</PRE><p><hr><br><center>[ <a href="somtoolbox.html">SOM Toolbox online doc</a> ]</center><br><!-- Last updated: May 30 2002 --></body></html>

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