This a k-means clustering algorithm, a four-dimensional volume (such as a clear physical meaning petals calyx length and width aspect) is divided into several categories according to several center

my k-means\my k-means\Debug\my k-means.exe
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..........\..........\ipch\my k-means-77554ff8\my k-means-b178319e.ipch
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..........\..........\my k-means\data for matlab
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..........\..........\..........\.....\my k-means.Build.CppClean.log
..........\..........\..........\.....\my k-means.exe.embed.manifest
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..........\..........\..........\.....\my k-means.exe.intermediate.manifest
..........\..........\..........\.....\my k-means.lastbuildstate
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..........\..........\..........\.....\my k-means.vcxprojResolveAssemblyReference.cache
..........\..........\..........\.....\my k-means.write.1.tlog
..........\..........\..........\.....\my k-means_manifest.rc
..........\..........\..........\.....\rc.read.1.tlog
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..........\..........\..........\.....\vc100.idb
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..........\..........\..........\iris.cpp
..........\..........\..........\my k-means.vcxproj
..........\..........\..........\my k-means.vcxproj.filters
..........\..........\..........\my k-means.vcxproj.user
..........\..........\my k-means.sdf
..........\..........\my k-means.sln
..........\..........\my k-means.suo
..........\..........\ipch\my k-means-77554ff8
..........\..........\my k-means\Debug
..........\..........\Debug
..........\..........\ipch
..........\..........\my k-means
..........\my k-means
my k-means

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