A Fuzzy Co-Clustering Algorithm via Modularity Maximization. (29th October 2018)

• Record Type: Journal Article
• Authors: Liu, Yongli; Chen, Jingli; Chao, Hao
• Other Names: Lolli Francesco Academic Editor.
• Is Part Of: Mathematical problems in engineering. Volume 2018(2018)
• Publication Date: 2018-10-29
• Subjects: Engineering mathematics -- Periodicals; 510.2462
• DOI: 10.1155/2018/3757580
• Languages: English
• ISSNs: 1024-123X

Abstract

Abstract : In this paper we propose a fuzzy co-clustering algorithm via modularity maximization, named MMFCC. In its objective function, we use the modularity measure as the criterion for co-clustering object-feature matrices. After converting into a constrained optimization problem, it is solved by an iterative alternative optimization procedure via modularity maximization. This algorithm offers some advantages such as directly producing a block diagonal matrix and interpretable description of resulting co-clusters, automatically determining the appropriate number of final co-clusters. The experimental studies on several benchmark datasets demonstrate that this algorithm can yield higher quality co-clusters than such competitors as some fuzzy co-clustering algorithms and crisp block-diagonal co-clustering algorithms, in terms of accuracy.