An Implementation of Clustering Algorithm Based on K-means
Tan Yong · Journal of Hubei Institute for Nationalities · 2004
As one analyzed method in data mining, clustering algorithm can find relatively dense regions, and generalize the regions of swatch. The article analyses localization of the traditional clustering algorithm, discusses an implementation of K-means. The algorithm can deal with documentation with isolated point. The high accuracy and efficiency of K-means clustering algorithm are shown in our experiments.