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实现数据挖掘的几个算法，包括模糊聚类，K均值，以及K近邻等聚类算法-Some of the implementation of data mining algorithms, including fuzzy clustering, K-means, as well as neighbors, such as clustering algorithm K
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K-MEANS算法Matlab实现方法，试过，能用，简单易读-K-MEANS algorithm Matlab implementation methods, tried, use, easy accessibility
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实现了K均值算法，可以对movielens上的数据进行自动分类，给出推荐值，是数据挖掘中的信息推介必要的算法工具。可以直接对movelens的数据进行聚类-Implementation of the K-means algorithm, can movielens on automatic classification of data, recommend give the value of data mining are to promote the necessary information
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the C++ implementation of k-means for clustering
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聚类方法中的K-means实现，用matlab语言实现的聚类-Clustering of K-means implementation of the cluster with matlab language
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实现了k-means极其改良算法，提高了聚类的精度。内附详细文字说明及源代码，配有图形界面演示。-The implementation of k-means algorithm and its plus.Improve the accuration of clustering.The document and source are both added.
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k-means算法的c++实现，写的比较不错，传上来加加分-k-means algorithm c++ implementation, written in relatively good transfer points up Gaga
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K-means分类器，java实现，可以自己设定类别数目。已做成jar-K-means classifier, java implementation, you can set the number of categories. Has made jar
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java实现的K-means聚类算法，结合swing，带有界面功能，操作简单直观-java implementation of K-means clustering algorithm, combined with the swing, with interface features simple, intuitive operation
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K means fuzzy, for implementation in matlab with pattern recognition
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Implementation of K-MEANS classification of 2D data of this code, the high speed
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simple k-means implementation with Persian comments
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此代码为matlab代码，分为两个部分。第一部分实现K均值聚类算法应用它来压缩图像。在第二部分中，你将使用主成份分析法pca来实现人脸图像的低维表示。
-This code for the matlab code, is divided into two parts. The first part of the implementation of the K means clustering algorithm to compress the image. In the second par
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这是k-means聚类算法的matlab仿真实现,程序中分别有二维控件和三维空间基于k-means的聚类demo-This is k- means clustering algorithm of matlab simulation implementation, respectively in the program have two-dimensional controls and three-dimensional space based on k- means cluster demo
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本程序是用python写的一个K均值算法，通过该算法可以学习一python实现算法的流程，以及学习该算法的使用。-The program is written in python a K-means algorithm, the algorithm can learn a python algorithm implementation processes, and learning to use the algorithm.
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k-means聚类算法 用C++实现 聚类采用数据为二维数据 保存在当前目录下的data.txt文件中-K-means clustering algorithm C++ implementation
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k-means以空间中k个点为中心进行聚类，对最靠近他们的对象归类
c++实现代码(C++ implementation code of k-means)
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K-means的简单实现，期中例子是实现了几组，程序简单，缺陷比较明显(Simple implementation of K-means)
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k-means聚类算法的代码实现，只需要更改数据就可以实现，而且有注释，很容易懂(The code implementation of the k-means clustering algorithm can be realized only by changing the data, and there are notes that make it easy to understand)
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通过python实现了k-means分类。(The python implementation of the K-means classification.)
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