首页    期刊浏览 2024年11月24日 星期日
登录注册

文章基本信息

  • 标题:An Improved K-means Clustering Algorithm
  • 本地全文:下载
  • 作者:Huang, Xiuchang ; Su, Wei
  • 期刊名称:Journal of Networks
  • 印刷版ISSN:1796-2056
  • 出版年度:2014
  • 卷号:9
  • 期号:1
  • 页码:161-167
  • DOI:10.4304/jnw.9.01.161-167
  • 语种:English
  • 出版社:Academy Publisher
  • 摘要:An improved k-means clustering algorithm based on K-MEANS algorithm is proposed. This paper gives an improved traditional algorithm by analyzing the statistical data. After a comparison between the actual data and the simulation data, this paper safely shows that the improved algorithm significantly reduce classification error on the simulation data set and the quality of the improved algorithm is much better than K-MEANS algorithm. Such comparative results confirm that the improved algorithm is a powerful for this problem
  • 关键词:Trajectories Pattern Analysis;Clustering;K-MEANS
国家哲学社会科学文献中心版权所有