A new hybrid clustering algorithm based on K-means and ant colony algorithm

摘要：

　　K-means algorithm and ant clustering algorithm are all traditional algorithms.The two algorithms can complement each other.The combination of two algorithms will improve clusterings accuracy and speed up algorithm convergence.Tests prove hybrid clustering algorithm is more effective than each above-mentioned algorithm.Especially,the new algorithm has good results in image segmentation.

关键词： similarity data mining clustering

作者: Jue Lu Rongqiang Hu

作者单位: School of Information Wuhan University of Technology Wuhan,P.R.China School of Automation Wuhan University of Technology Wuhan,P.R.China

会议类型: 国际会议

会议名称: 2013 2nd International Conference on Computer Science and Electronics Engineering(ICCSEE2013)(2013年第二届计算机科学与电子工程国际会议)

会议地点: 杭州

会议语种:英文

页码: 1719-1722

在线出版日期: 2013-03-22（万方平台首次上网日期，不代表论文的发表时间）