Item type |
学術雑誌論文 / Journal Article(1) |
公開日 |
2023-02-28 |
タイトル |
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タイトル |
A Redundancy-Based Measure of Dissimilarity among Probability Distributions for Hierarchical Clustering Criteria |
言語 |
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言語 |
eng |
キーワード |
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主題 |
Clustering |
キーワード |
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主題 |
mixture model |
キーワード |
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主題 |
dissimilarity measure |
キーワード |
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主題 |
information theory |
キーワード |
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主題 |
Ward’s method |
資源タイプ |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_6501 |
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資源タイプ |
journal article |
著者 |
IWATA, Kazunori
HAYASHI, Akira
岩田, 一貴
林, 朗
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抄録 |
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内容記述タイプ |
Abstract |
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内容記述 |
We introduce novel dissimilarity into a probabilistic clustering task to properly measure dissimilarity among multiple clusters when each cluster is characterized by a subpopulation in the mixture model. This measure of dissimilarity is called redundancy-based dissimilarity among probability distributions. From aspects of both source coding and a statistical hypothesis test, we shed light on several of the theoretical reasons for the redundancy-based dissimilarity among probability distributions being a reasonable measure of dissimilarity among clusters. We also elucidate a principle in common for the measures of redundancy-based dissimilarity and Ward's method in terms of hierarchical clustering criteria. Moreover, we show several related theorems that are significant for clustering tasks. In the experiments, properties of the measure of redundancy-based dissimilarity are examined in comparison with several other measures. |
書誌情報 |
IEEE Transactions on Pattern Analysis and Machine Intelligence
巻 30,
号 1,
p. 76-88,
発行日 2008-01
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出版者 |
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出版者 |
IEEE |
ISSN |
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収録物識別子タイプ |
ISSN |
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収録物識別子 |
0162-8828 |
権利 |
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権利情報 |
©2008 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE. |
フォーマット |
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内容記述タイプ |
Other |
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内容記述 |
application/pdf |
著者版フラグ |
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出版タイプ |
VoR |
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出版タイプResource |
http://purl.org/coar/version/c_970fb48d4fbd8a85 |