The algorithm "clustering" is an anomaly detection algorithm. It overcomes two shortcomings of K-means: number of clusters dependency and degeneracy. -The algorithm "clustering" is an anomaly detection algorithm. It overcomes two shortcomings of

k-means算法，进行聚类分析的实用算法，通过分析和实例，证明了算法的实用性-K-means algorithm, a practical algorithm of clustering analysis, through analysis and examples, proves the practicability of the algorithm

D-S evidence theory data fusion, K-means clustering algorithm based on the PSO, Undergraduate complete set requirements refer to the standard test models.

You can get a very accurate amplitude, frequency, phase estimation, K-means clustering algorithm based on the PSO, matlab development toolbox support vector machine.

K均值聚类算法-对数据进行聚类分析，适合数据处理(k means clustering algorithm)