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k均值聚类算法分析，采用C++编程技术，提供代码可重用机制 -k-means clustering algorithm analysis, the use of C programming, code reuse mechanism
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Fuzzy clustering is a class of algorithms for cluster analysis in which the allocation of data points to clusters is not "hard" (all-or-nothing) but "fuzzy" in the same sense as fuzzy logic.
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K值聚类算法的c语言源程序，很容易理解，有待进一步改进,The K value clustering algorithm c language source code, it is easy to understand, needs to be further improved
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C均值聚类算法，用visual studio C++写的。程序包含TEX文件中的数据。可以更换数据。本人亲自运行通过。-C-means clustering algorithm, using visual studio C++ written. TEX program contains data file. You can replace the data. I personally run through.
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k-均值聚类算法（C语言实现）：
给定类的个数K，将N个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。-k-means clustering algorithm (C language): given the number of classes K, N objects will be assigned to the K class, making the class the biggest similarity between objects, and the s
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是一个基于Matlab软件的模糊C-means聚类算法原代码,-Is a software based on Matlab fuzzy C- means clustering algorithm source code,
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一个关于c均值的聚类源程序,在matlab下运行 不错的 很好-A source program of c-means clustering, run well under matlab is very good
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