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コードベクトルの分離・結合を考慮した自己組織化マップに基づくクラスタリング手法


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Title: コードベクトルの分離・結合を考慮した自己組織化マップに基づくクラスタリング手法
Other Titles: A Clustering Method based on a Self-Organizing Map Showing the Separation and Combination of Code Vectors
Authors: 今村, 弘樹 / 藤村, 誠 / 黒田, 英夫
Authors (alternative): Imamura, Hiroki / Fujimura, Makoto / Kuroda, Hideo
Issue Date: Jul-2009
Publisher: 映像情報メディア学会 / The Institute of Image Information and Television Engineers
Citation: 映像情報メディア学会誌, 63(7), pp.991-998; 2009
Abstract: A method is proposed for clustering data that results in more accurate clustering when clusters are close to each other. The method takes into account the continuity of the data by using a self-organizing map showing the separation and combination of code vectors. Using this map reduces the dependence of fitting of code vectors. The proposed method can be thus used to obtain accurate clustering.
Keywords: クラスタリング / 自己組織化マップ / データの連続性 / コードベクトルの分離・結合
URI: http://hdl.handle.net/10069/23325
ISSN: 13426907
DOI: 10.3169/itej.63.991
Rights: Copyright (c) 2010 社団法人 映像情報メディア学会
Type: Journal Article
Text Version: publisher
Appears in Collections:Articles in academic journal

Citable URI : http://hdl.handle.net/10069/23325

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