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利用Java实现的K-均值算法,K-Mean 分群法是一种分割式分群方法,其主要目标是要在大量高纬的资料点中找出 具有代表性的资料点;这些资料点可以称为群中心,代表点;然后再根据这些群中心,进行后续的处理,可用于数据挖掘中的聚类分析-Java implementation using K-means algorithm, K-Mean grouping method is a fragmented grouping method, whose main goal is to a large nu
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数据挖掘的一个clustering方法,主要是k-meas算法,帮助理解clustering-an algorithm of clustering in data mining
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Data Mining of JSP example to do the cluster analysis.
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kmeans算法, K-means算法是最为经典的基于划分的聚类方法,是十大经典数据挖掘算法之一。K-means算法的基本思想是: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。通过迭代的方法,逐次更新各聚类中心的值,直至得到最好的聚类结果-kmeans algorithm, K-means algorithm is the most classic divide-based clustering method is one of the top ten classical data mi
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k-means clustering is a method of vector quantization, originally signal processing, that is popular for cluster analysis in data mining. k-means clustering aims to partition n observations into k clusters in which each observation belongs to the clu
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