k-means clustering 算法用于机器学习和模式识别 - 源码 - 源码 - 免费下载

k-means clustering 算法用于机器学习和模式识别

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资源说明：k-means clustering,聚类,用于机器学习和模式识别。下面是英文介绍：In statistics and machine learning, k-means clustering is a method of cluster analysis which aims to partition n observations into k clusters in which each observation belongs to the cluster with the nearest mean. It is similar to the expectation-maximization algorithm for mixtures of Gaussians in that they both attempt to find the centers of natural clusters in the data as well as in the iterative refinement approach employed by both algorithms.

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