k-均值聚类算法

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文件名称：k-均值聚类算法
文件大小：132KB
文件格式：PDF
更新时间：2016-04-14 17:41:29
k-均值 聚类算法 Simply speaking it is an algorithm to classify or to group your objects based on attributes/features into K number of group. K is positive integer number. The grouping is done by minimizing the sum of squares of distances between data and the corresponding cluster centroid. Thus, the purpose of K-mean clustering is to classify the data.