Presentation | 2014-07-26 Estimating the number of clusters for spherical clustering Kazuhisa FUJITA, |
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Abstract(in Japanese) | (See Japanese page) |
Abstract(in English) | Estimation of the number of clusters is an important issue on data clustering. The one of the major methods to estimate the number of clusters is x-means. The x-means is used for clustering data distributed on Cartesian coordinates. However, x-means cannot be applied to clustering data that is spherically distributed. The purpose of the present study is to restructure x-means to be applied to spherical data. To address the issue, I assume that the data is generated from von Mises-Fisher distribution and restructure x-means. I demonstrate that the proposed method can estimate the number of clustering. |
Keyword(in Japanese) | (See Japanese page) |
Keyword(in English) | Spherical clustering / Estimation of the number of clusters / k-means / x-means / EM algorithm / von Mises-Fisher distribution |
Paper # | NC2014-20 |
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Committee | NC |
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Conference Date | 2014/7/19(1days) |
Place (in Japanese) | (See Japanese page) |
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Paper Information | |
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) | Estimating the number of clusters for spherical clustering |
Sub Title (in English) | |
Keyword(1) | Spherical clustering |
Keyword(2) | Estimation of the number of clusters |
Keyword(3) | k-means |
Keyword(4) | x-means |
Keyword(5) | EM algorithm |
Keyword(6) | von Mises-Fisher distribution |
1st Author's Name | Kazuhisa FUJITA |
1st Author's Affiliation | National Institute of Technology, Tsuyama College:University of Electro-Communications() |
Date | 2014-07-26 |
Paper # | NC2014-20 |
Volume (vol) | vol.114 |
Number (no) | 154 |
Page | pp.pp.- |
#Pages | 6 |
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