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JACIII Vol.24 No.1 pp. 40-47
doi: 10.20965/jaciii.2020.p0040
(2020)

Paper:

A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition

Katsuhiro Honda, Yoshiki Hakui, Seiki Ubukata, and Akira Notsu

Osaka Prefecture University
1-1 Gakuen-cho, Nakaku, Sakai, Osaka 599-8531, Japan

Received:
March 15, 2019
Accepted:
August 29, 2019
Published:
January 20, 2020
Keywords:
fuzzy co-clustering, dual exclusive partition, multinomial mixture models
Abstract
A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition

Co-clustering of cooccurrence information

MMMs-induced fuzzy co-clustering achieves dual partition of objects and items by estimating two different types of fuzzy memberships. Because memberships of objects and items are usually estimated under different constraints, the conventional models mainly targeted object clusters only, but item memberships were designed for representing intra-cluster typicalities of items, which are independently estimated in each cluster. In order to improve the interpretability of co-clusters, meaningful items should not belong to multiple clusters such that each co-cluster is characterized by different representative items. In previous studies, the item sharing penalty approach has been applied to the MMMs-induced model but the dual exclusive constraints approach has not yet. In this paper, a heuristic-based approach in FCM-type co-clustering is modified for adopting in MMMs-induced fuzzy co-clustering and its characteristics are demonstrated through several comparative experiments.

Cite this article as:
K. Honda, Y. Hakui, S. Ubukata, and A. Notsu, “A Heuristic-Based Model for MMMs-Induced Fuzzy Co-Clustering with Dual Exclusive Partition,” J. Adv. Comput. Intell. Intell. Inform., Vol.24, No.1, pp. 40-47, 2020.
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Last updated on Jul. 01, 2020