An improved K-means Clustering Algorithm

摘要：

That traditional Kmean algorithm is a widely used clustering algorithm, with a wide application. In light of the disadvantage of Kmean algorithm, improvement is made to the traditional Kmean algorithm, a k value learning algorithm is proposed. Using genetic algorithm to optimize the K value, and improve clustering performance.

关键词： K-mean value Clustering algorithm genetic algorithm

作者: Jian Zhu Hanshi Wang

作者单位: School of Computer Science and Technology,Beijing Institute of TechnologyBeijing, China School of Computer Science and Technology, Beijing Institute of Technology Beijing, China

会议类型: 国际会议

会议名称: 2010 2nd IEEE International Conference on Information Management and Engineering(2010年IEEE第二届信息管理与工程国际会议 IEEE ICIME 2010)

会议地点: 成都

会议语种:英文

页码: 1-3

在线出版日期: 2010-04-16（万方平台首次上网日期，不代表论文的发表时间）