K-means聚类算法研究

Research on K-means Clustering Algorithm

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。

Clustering, a major filed in pattern recognition, is an important method of data partition or grouping. K-means algorithm is one of the essential clustering algorithms. This thesis mainly introduces the basic knowledge of K-means clustering algorithm and its realization method, and analyses the advantages and disadvantages in detail.