Viarable Selection and Outlier Detection for Automated K-Means Clustering

The 7th ENGII Conference(Workshop7 2015)——An important problem in cluster analysis is the selection of variables that define cluster structure that also eliminate noisy variables that mask cluster structure; in addition, outlier detection is a fundamental task for cluster analysis.

关键词: cluster analysis;outlier detection;automated K-means clustering process

主讲人:Prof. Sung-Soo Kim 机构:Korea National Open University

时长:0:12:07 年代:2015年