A Validity Index for Fuzzy Clustering Based on Bipartite Modularity
Joint Authors
Liu, Yongli
Chao, Hao
Zhang, Xiaoyang
Chen, Jingli
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-08-08
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Information Technology and Computer Science
Abstract EN
Because traditional fuzzy clustering validity indices need to specify the number of clusters and are sensitive to noise data, we propose a validity index for fuzzy clustering, named CSBM (compactness separateness bipartite modularity), based on bipartite modularity.
CSBM enhances the robustness by combining intraclass compactness and interclass separateness and can automatically determine the optimal number of clusters.
In order to estimate the performance of CSBM, we carried out experiments on six real datasets and compared CSBM with other six prominent indices.
Experimental results show that the CSBM index performs the best in terms of robustness while accurately detecting the number of clusters.
American Psychological Association (APA)
Liu, Yongli& Zhang, Xiaoyang& Chen, Jingli& Chao, Hao. 2019. A Validity Index for Fuzzy Clustering Based on Bipartite Modularity. Journal of Electrical and Computer Engineering،Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1173687
Modern Language Association (MLA)
Liu, Yongli…[et al.]. A Validity Index for Fuzzy Clustering Based on Bipartite Modularity. Journal of Electrical and Computer Engineering No. 2019 (2019), pp.1-9.
https://search.emarefa.net/detail/BIM-1173687
American Medical Association (AMA)
Liu, Yongli& Zhang, Xiaoyang& Chen, Jingli& Chao, Hao. A Validity Index for Fuzzy Clustering Based on Bipartite Modularity. Journal of Electrical and Computer Engineering. 2019. Vol. 2019, no. 2019, pp.1-9.
https://search.emarefa.net/detail/BIM-1173687
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1173687