基于遗传算法的K均值聚类分析  

K-Means Clustering Based on Genetic Algorithm

作　　者：王敞[1] 陈增强[1] 袁著祉[1] 

机构地区：[1]南开大学信息技术科学学院,天津300071

出　　处：《计算机科学》2003年第2期163-164,共2页Computer Science

基　　金：国家自然科学基金(60174021)

摘　　要：This paper proposes a K-Means clustering method based on genetic algorithm. We compare our method with the traditional K-Means method and clustering method based on simple genetic algorithm. The comparison proves that our method achieves a better result than the other two. The drawback of this method is a comparably slower speed in clustering.This paper proposes a K-Means clustering method based on genetic algorithm. We compare our method with the traditional K-Means method and clustering method based on simple genetic algorithm. The comparison proves that our method achieves a better result than the other two. The drawback of this method is a comparably slower speed in clustering.

关 键 词：遗传算法 K均值 聚类分析 数据挖掘 

分 类 号：O242.23[理学—计算数学]