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Author Yoshida, D. ♦ Honda, K. ♦ Notsu, A. ♦ Ichihashi, H.
Source IEEE Xplore Digital Library
Content type Text
Publisher Institute of Electrical and Electronics Engineers, Inc. (IEEE)
File Format PDF
Copyright Year ©2011
Language English
Subject Domain (in DDC) Computer science, information & general works ♦ Special computer methods
Subject Keyword Prototypes ♦ Vectors ♦ Clustering algorithms ♦ Principal component analysis ♦ Data mining ♦ Shape ♦ Fuzzy systems ♦ principal component analysis ♦ co-clustering ♦ collaborative filtering
Abstract This paper proposes an FCM-type clustering method for capturing cross-shape fuzzy clusters in multidimensional data spaces. The proposed objective function is a combination of Fuzzy c-Varieties (FCV) and cross-shape cluster extraction in 2-D space, which is an extended linear fuzzy clustering model with local coordinate rotation. FCV is responsible for finding 2-D planes, on which cross-shape prototypes exist. Each prototypical cross is estimated on the FCV prototypes. Fuzzy memberships are updated using a combined clustering criterion of distances between data samples and FCV prototypes and measures for linear clustering on the FCV prototypes with local coordinate rotation.
Description Author affiliation: Department of Computer Science and Intelligent Systems, Osaka Prefecture University 1-1 Gakuen-cho, Nakaku, Sakai, Osaka 599-8531, Japan (Yoshida, D.; Honda, K.; Notsu, A.; Ichihashi, H.)
ISBN 9781424473151
ISSN 10987584
Educational Role Student ♦ Teacher
Age Range above 22 year
Educational Use Research ♦ Reading
Education Level UG and PG
Learning Resource Type Article
Publisher Date 2011-06-27
Publisher Place Taiwan
Rights Holder Institute of Electrical and Electronics Engineers, Inc. (IEEE)
e-ISBN 9781424473175
Size (in Bytes) 265.13 kB
Page Count 5
Starting Page 799
Ending Page 803

Source: IEEE Xplore Digital Library