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📄 som_drsignif.html

📁 Kohonen的SOM软件包
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<!DOCTYPE HTML PUBLIC "-//IETF//DTD HTML//EN"><html><head><title>SOM Toolbox / som_drsignif </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_drsignif </H1><P><B> sig = som_drsignif(sigmea,Cm)</B></P><PRE> SOM_DRSIGNIF Significance measure from confusion matrix between two clusters and a rule. sig = som_drsignif(sigmea,Cm)   sigmea   (string) significance measure: 'accuracy',                     'mutuconf' (default), or 'accuracyI'.                    (See definitions below).  Cn                Vectorized confusion matrix, or a matrix of such vectors.           (vector) [a, c, b, d] (see below)           (matrix) [[a1,c1,b1,d1], ..., [an,cn,bn,dn]]  sig      (vector) length=n, significance values  The confusion matrix Cm below between group (G) and contrast group (not G) and rule (true - false) is used to determine the significance values:          G    not G           ---------------    accuracy  = (a+d) / (a+b+c+d) true  |  a  |   b   |           |--------------    mutuconf  =  a*a  / ((a+b)(a+c))  false |  c  |   d   |        ---------------    accuracyI =   a   / (a+b+c) See also  SOM_DREVAL, SOM_DRMAKE.</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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