期刊
IEEE TRANSACTIONS ON FUZZY SYSTEMS
卷 8, 期 5, 页码 576-582出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/91.873580
关键词
clustering; fuzzy c-means; Lp; norm; outlier
Fuzzy c-means (FCM) isa useful clustering technique. Recent modifications of FCM using L-1 norm distances increase robustness to outliers. Object and relational data versions of FCM clustering are defined for the more general case where the L-p norm (p greater than or equal to 1) or semi-norm (0 < p < 1) is used as the measure of dissimilarity. We give simple (though computationally intensive) alternating optimization schemes for all object data cases of p > 0 in order to facilitate the empirical examination of the object data models. Both object and relational approaches are included in a numerical study.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据