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这是K均值聚类算法的程序,应用相当广泛的,比如在模式识别里就很重要.-This is the K-means clustering algorithm, application fairly extensive, such as pattern recognition is important to Lane.
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此程序是在VC环境下实现k-means均值聚类算法-this procedure is in VC environment to achieve k-means clustering algorithm Mean
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次算法为数据挖掘中动态聚类算法的实现，对数据挖掘有一定的帮助-time data mining algorithms for dynamic clustering algorithm to the realization of data mining is certainly helpful
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这是模式识别中关于k均值动态聚类算法的matlab源码-This is the pattern recognition on the k-means clustering algorithm Matlab FOSS
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An Efficient K-Means Clustering Algorithm.
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主要是KNN（the k-nearest neighbor algorithm ）,LVQ1（learning vector quantization 1）, DSM（decision surface mapping）算法。
and a simple clustering algorithm.
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我自己编写的分层聚类算法，类内采用最大距离，类间采用最小距离实现-myself prepared by the Hierarchical clustering algorithm, the largest category within distance between categories of use to achieve minimum distance
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聚类算法的训练数据文件，可导入数据库可代替数据库文件 -clustering algorithm training data and can import databases, database files can be replaced
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这是一个改进的快速实现模糊c-means聚类算法的程序-This is a rapidly improving the fuzzy c-means clustering algorithm procedures
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