文件列表:

matlab源程序 (0, 2015-11-20)
matlab源程序\KMEANS (0, 2015-11-20)
matlab源程序\KMEANS\KM2.DAT (191, 1995-01-21)
matlab源程序\KMEANS\KMEANS.CPP (9098, 1995-08-25)
matlab源程序\KMEANS\KMEANS.EXE (52080, 1995-08-25)
matlab源程序\小波语音压缩编码 (0, 2015-11-20)
matlab源程序\小波语音压缩编码\waterrun.wav (110364, 2008-10-31)
matlab源程序\小波语音压缩编码\小波压缩编码.m (607, 2015-09-23)
matlab源程序\数学建模 (0, 2015-11-20)
matlab源程序\数学建模\1 (0, 2015-11-20)
matlab源程序\数学建模\1\Population.m (354, 2015-09-22)
matlab源程序\数学建模\10 (0, 2015-11-20)
matlab源程序\数学建模\10\glyunshu.m (4624, 2011-03-05)
matlab源程序\数学建模\11 (0, 2015-11-20)
matlab源程序\数学建模\11\Wnn0801.m (3051, 2010-05-12)
matlab源程序\数学建模\12 (0, 2015-11-20)
matlab源程序\数学建模\12\Dwtg1.m (4343, 2010-05-12)
matlab源程序\数学建模\12\Thumbs.db (10240, 2011-03-05)
matlab源程序\数学建模\12\image.jpg (112598, 2009-12-06)
matlab源程序\数学建模\12\water1.jpg (59026, 2009-12-06)
matlab源程序\数学建模\12\watermarked.jpg (42511, 2010-05-13)
matlab源程序\数学建模\12\说明.txt (252, 2011-03-09)
matlab源程序\数学建模\2 (0, 2015-11-20)
matlab源程序\数学建模\2\main0301.m (604, 2010-04-24)
matlab源程序\数学建模\3 (0, 2015-11-20)
matlab源程序\数学建模\3\Changjiang.m (585, 2010-04-24)
matlab源程序\数学建模\4 (0, 2015-11-20)
matlab源程序\数学建模\4\GA401.m (2269, 2010-05-12)
matlab源程序\数学建模\4\IfCroIfMut.m (200, 2010-05-12)
matlab源程序\数学建模\4\crossover.m (533, 2010-05-12)
matlab源程序\数学建模\4\fitnessfun.m (735, 2010-05-12)
matlab源程序\数学建模\4\mutation.m (337, 2010-05-12)
matlab源程序\数学建模\4\selection.m (271, 2010-05-12)
matlab源程序\数学建模\4\targetfun.m (162, 2010-05-12)
matlab源程序\数学建模\4\transform2to10.m (232, 2010-05-12)
matlab源程序\数学建模\5 (0, 2015-11-20)
matlab源程序\数学建模\5\GA402.m (470, 2010-05-12)
matlab源程序\数学建模\5\ch14_2f.m (225, 2010-05-12)
matlab源程序\数学建模\5\重要说明.txt (284, 2011-03-28)
... ...

This directory contains code implementing the K-means algorithm. Source code may be found in KMEANS.CPP. Sample data isfound in KM2.DAT. The KMEANS program accepts input consisting of vectors and calculates the given number of cluster centers using the K-means algorithm. Output is directed to the screen. Usage for KMEANS is: KMEANS SOURCEFILE The format of the source file is: NPat - Number of patterns (int) SizeVect - Size of vector (int) NClust - Number of cluster centers(int) vect[1,1] ... vect[1,SizeVect] - vector 1 (real) vect[2,1] ... vect[2,SizeVect] - vector 2 (real) . . . . . . vect[NPat,1] ... vect[NClust,SizeVector] - vector N (real) To compile: ICC KMEANS.CPP 

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