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文書データの類似度を考慮した密度に基づくクラスタリングによる地域的なトピック抽出

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文書データの類似度を考慮した密度に基づくクラスタリングによる地域的なトピック抽出

Call No. (NDL)
Z74-H509
Bibliographic ID of National Diet Library
025029862
Material type
記事
Author
酒井 達弘ほか
Publisher
Hiroshima : [IEEE SMC Hiroshima Chapter]
Publication date
2013
Material Format
Paper
Journal name
IEEE SMC Hiroshima Chapter Young Researchers' Workshop proceedings = IEEE SMC Hiroshima Chapter若手研究会講演論文集 2013
Publication Page
p.17-20
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Detailed bibliographic record

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application/pdf2013 IEEE SMC Hiroshima Chapter若手研究会, 2013年7月13日, 広島市立大学 2013 IEEE SMC Hiroshima Chapter Young Researcher Award 受賞論文(Provided by: CiNii...

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Paper

Material Type
記事
Author/Editor
酒井 達弘
田村 慶一
北上 始
Alternative Title
Density-based Clustering Considering Document Similarity for Extracting Local Topics
Periodical title
IEEE SMC Hiroshima Chapter Young Researchers' Workshop proceedings = IEEE SMC Hiroshima Chapter若手研究会講演論文集
No. or year of volume/issue
2013
Pages
17-20
Publication date of volume/issue (W3CDTF)
2013
ISSN (Periodical Title)
2187-3577