会议专题

An Improved Spectral Clustering Scheme Based on Differential Evolution

An improved spectral clustering approach based on differential evolution algorithm (DESC) is proposed in this paper. In our algorithm, we replace k-means with differential evolution (DE) as the final step in spectral clustering, thus it overcomes the deficiencies in sensitivity- to initialization and local optima. Experimental results over artificial dataset and LCI dataset demonstrate DESCs superiority in difficult clustering, steady performance and better accuracy.

Differential Evolution Spectral Clustering Dimension Reduction

Xinglin Zhang Zhi Zhang

Department of Computer Science Sun Yat-sen University Guangzhou, China

国际会议

2011 International Conference on Database and Data Mining(ICDDM 2011)(2011年数据库和数据挖掘国际会议)

三亚

英文

84-87

2011-03-25(万方平台首次上网日期,不代表论文的发表时间)