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搜索资源 - K Mean algorithm in java
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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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这是K-neans动态聚类算法的源程序，是人工智能领域很有用的一种聚类方法。-This is K-neans source dynamic clustering algorithm, the field of artificial intelligence are useful in a clustering method.
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it is java code for k means clustering algorithm
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算法，k-mean搜索方法，执行起来很快，推荐。-Algorithm, k-mean search methods, to implement quickly, recommended.
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k-means聚类算法的java代码实现-k-means clustering algorithm java code
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文档分类，用K均值，加入了K的选择算法，不用人为设定聚类个数-Document classification, using K-means, joined the K of the selection algorithm, not the number of artificial clustering
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K-Means的java程序算法实现，能够有效处理K-mean问题-the realization of the K-means algorithm in java
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K-mean Algorithm
Initialisation: set seed points
Assign each object to the cluster with the nearest seed point
Compute seed points as the centroids of the clusters of the current partition (the centroid is the centre, i.e., mean point, of th
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