A noise co-cluster is defined with homogeneous item memberships for drawing noise objects, whose cooccurrence features are dissimilar from all general clusters.
In this study, we develop an NPCCMM scheme considering variable cluster volumes and the fuzziness degree of item memberships to investigate the specific aspects ...
A novel noise rejection scheme for improving fuzzy co-clustering is proposed, which is useful in such cooccurrence information analysis as document ...
MMMs-Induced Possibilistic Fuzzy Co-Clustering and its ...
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For example, noise FCM (NFCM) performs noise rejection by introducing a noise cluster that absorbs noise objects and possibilistic C -means (PCM) performs the ...
An NPCCMM scheme considering variable cluster volumes and the fuzziness degree of item memberships to investigate the specific aspects of fuzzy nature ...
Noise rejection in MMMs-induced fuzzy co-clustering. Journal of Advanced Computational Intelligence and Intelligent Informatics. 2017 | Journal article.
... fuzzy clustering method, has been extended to achieve more robust clustering. For example, noise FCM (NFCM) performs noise rejection by introducing a noise ...
Jul 19, 2020 · Noise fuzzy clustering is a useful scheme for analyzing intrinsic data structures through robust estimation of fuzzy c-partition.
This paper proposes a novel noise rejection model for fuzzy co-clustering induced by multinomial mixture models (MMMs), where a noise cluster is defined ...
Jun 23, 2016 · In this research, the virtual sample approach is adopted in semi-supervised fuzzy co-clustering, where the goal is to reveal object-item ...