摘要:Traditional K-means clustering algorithm is easy to fall into local minimum for its initial center points selected randomly, and cannot deal with the point which is on the edge of the irregular data set effectively. Considering these, we propose a improved k-means clustering algorithm in th...
要:聚类分析是模式识别中一个重要研究领域,是一种将数据划分或分组处理的重要手段和方法。 K—means算法是聚类算法中主要算法之一,文章介绍了K—means聚类算法的实现方法,并对其优点和缺点 进行了详细的分析。 关键词:聚类分析;K—means算法 中图分类号:TP311 ...