A novel fuzzy cluster validity index with new compositions

被引：0

作者：

Wu, Shu ^{[1
]}

Jiang, Qingshan ^{[1
]}

Hong, Zhiling ^{[2
]}

Wang, Shengrui ^{[3
]}

机构：

[1] Xiamen Univ, Sch Software, Xiamen 361005, Peoples R China

[2] Xiamen Univ, Dept Comp Sci, Xiamen 361005, Peoples R China

[3] Univ Sherbrooke, Dept Comp Sci, Quebec City, PQ, Canada

来源：

WCICA 2006: SIXTH WORLD CONGRESS ON INTELLIGENT CONTROL AND AUTOMATION, VOLS 1-12, CONFERENCE PROCEEDINGS | 2006年

关键词：

fuzzy clustering; validity index; fuzzy c-means; cluster validity;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Existing indexes are usually composed of two factors: compactness and separation, although some authors use overlap in place of compactness. In this paper, we propose a new index based on a combination of the three factors. This index is potentially more efficient in dealing with simultaneous presence of overlapped clusters, point clusters and low-density clusters. Experimental results support out claim.

引用

页码：5967 / +

页数：2

共 14 条

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