Parallel CLARANS- Improvement and Application of CLARANS Algorithm

摘要：

The content of data mining usually contains discrete data. To solve this problem, the traditional method is to convert discrete data into digital values. Still it is hard to obtain a meaningful result since the order of discrete data problem area would be damaged. A clustering Algorithm, CLARANS (Clustering Large Applications based on Randomized Search) could avoid this efficiently. The improved and parallel CLARANS introduced here can improve the clustering performance further, and its able to get better clustering result and as well shorten searching time. This is applied in 110 Alarm System and it turned out to be satisfying.

关键词： CLARANS parallelizable partition-based clustering algorithm data mining

作者: XUE Jing-Sheng

作者单位: School of Electronic Information Engineering,Tianjin University,Tianjin 300072, China Information and Comm. Division, Tianjin Pubic Bureau,Tianjin,300020,China

会议类型: 国际会议

会议名称: 2010 International Conference on Computer and Communication Technologies in Agriculture Engineering(计算机与通信技术在农业工程国际会议 CCTAE 2010)

会议地点: 成都

会议语种:英文

页码: 248-251

在线出版日期: 2010-06-12（万方平台首次上网日期，不代表论文的发表时间）