Presentation 2012-11-01
On Fuzzy Co-Clustering based on Homogenious Relational Fuzzy c-Means
Yuchi KANZAWA,
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Abstract(in English) In this report, a fuzzy co-clustering algorithm is proposed for categorical multivariate data. This algorithm is based on that conventional methods can be interpreted as special cases of clustering methods for homogenious relational data. The proposed method is derived from a homogenious relational fuzzy c-means clustering algorithm with some imputation method for heterogenious relational data.
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Keyword(in English) Clustering / Heterogenious Relational Data / Homogenious Relational Data / Fuzzy c-Means
Paper # CAS2012-50,MSS2012-30
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Conference Date 2012/10/25(1days)
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Registration To Mathematical Systems Science and its applications(MSS)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) On Fuzzy Co-Clustering based on Homogenious Relational Fuzzy c-Means
Sub Title (in English)
Keyword(1) Clustering
Keyword(2) Heterogenious Relational Data
Keyword(3) Homogenious Relational Data
Keyword(4) Fuzzy c-Means
1st Author's Name Yuchi KANZAWA
1st Author's Affiliation Shibaura Inssitute of Technology()
Date 2012-11-01
Paper # CAS2012-50,MSS2012-30
Volume (vol) vol.112
Number (no) 274
Page pp.pp.-
#Pages 4
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