Presentation | 1995/7/27 Competitive Models for Unsupervised Clustering Ryuta Itoh, Takehiko Shida, Toshiki Kindo, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | In this paper, three competitive models, which estimate the prototype of cluster with unsupervised clustering, are proposed. The first one is LVQ+MM model, which is composed of the learning vector quantization (LVQ) and the MAX-MIN distance method. The second one is the learning biased vector quantization (LBVQ) model with the extened distance measure which is added a biased term to that of LVQ. The third one is the learning Bayesian quantization (LBQ) model whose distance measure is given by discriminant function of the Bayes decision. The numerical experiment with pseudo-random numbers for two-dimensional input pattern whose probability density function is normal distribution shows the LBQ model is the best model to estimate the prototype of cluster and the incidence probability of cluster in these models. The LBQ model gives the Bayes decision boundary surface of each real cluster approximately. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | competition / clustering / prototype / Bayes decision |
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Committee | NC |
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Conference Date | 1995/7/27(1days) |
Place (in Japanese) | (See Japanese page) |
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Topics (in Japanese) | (See Japanese page) |
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Registration To | Neurocomputing (NC) |
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Language | JPN |
Title (in Japanese) | (See Japanese page) |
Sub Title (in Japanese) | (See Japanese page) |
Title (in English) | Competitive Models for Unsupervised Clustering |
Sub Title (in English) | |
Keyword(1) | competition |
Keyword(2) | clustering |
Keyword(3) | prototype |
Keyword(4) | Bayes decision |
1st Author's Name | Ryuta Itoh |
1st Author's Affiliation | Matsushita Research Institute Tokyo, Inc.() |
2nd Author's Name | Takehiko Shida |
2nd Author's Affiliation | Matsushita Research Institute Tokyo, Inc. |
3rd Author's Name | Toshiki Kindo |
3rd Author's Affiliation | Matsushita Research Institute Tokyo, Inc. |
Date | 1995/7/27 |
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Volume (vol) | vol.95 |
Number (no) | 189 |
Page | pp.pp.- |
#Pages | 8 |
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