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C++实现的自动聚类系统KlustaKwik源代码\KlustaKwik-R1-7\KlustaKwik-ks for any type of data. We needed a program that

would:



1) Fit a mixture of Gaussians with unconstrained covariance matrices

2) Automatically choose the number of mixture components

3) Be robust against noise

4) Reduce the problem of local minima

5) Run fast on large data sets (up to 100000 points, 48 dimensions)



Speed in particular was essential. KlustaKwik is based on the CEM algorithm of

Celeux and Govaert (which is faster than the standard EM algorithm
(系统自动生成,下载前可以参看下载内容)

下载文件列表

KlustaKwik-R1-7

...............\KlustaKwik

...............\..........\Array.h

...............\..........\Debug

...............\..........\.....\param.obj

...............\..........\.....\param.pch

...............\..........\.....\param.pdb

...............\..........\.....\vc60.idb

...............\..........\.....\vc60.pdb

...............\..........\KK.cpp

...............\..........\KK.h

...............\..........\KlustaKwik.cpp

...............\..........\KlustaKwik.h

...............\..........\KlustaKwik.mcp

...............\..........\KlustaSave.h

...............\..........\linux-pentium

...............\..........\.............\KlustaKwik

...............\..........\macosx

...............\..........\......\KlustaKwik

...............\..........\makefile

...............\..........\param.c

...............\..........\param.dsp

...............\..........\param.dsw

...............\..........\param.h

...............\..........\param.ncb

...............\..........\param.opt

...............\..........\param.plg

...............\..........\README.txt

...............\..........\ReleaseNotes.txt

...............\..........\test

...............\..........\....\test.fet.1

...............\..........\....\test.model.1

...............\..........\....\test_res.clu.1

...............\..........\....\test_res.model.1

...............\..........\Windows

...............\..........\.......\KlustaKwik.exe

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