Presentation | 2012-11-01 On Fuzzy Co-Clustering based on Homogenious Relational Fuzzy c-Means Yuchi KANZAWA, |
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Abstract(in Japanese) | (See Japanese page) |
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. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Clustering / Heterogenious Relational Data / Homogenious Relational Data / Fuzzy c-Means |
Paper # | CAS2012-50,MSS2012-30 |
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Conference Information | |
Committee | MSS |
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Conference Date | 2012/10/25(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Paper Information | |
Registration To | Mathematical Systems Science and its applications(MSS) |
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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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