Item type |
会議発表論文 / Conference Paper(1) |
公開日 |
2023-03-02 |
タイトル |
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タイトル |
Applying Cluster Ensemble to Adaptive Tree Structured Clustering |
言語 |
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言語 |
eng |
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資源タイプ識別子 |
http://purl.org/coar/resource_type/c_5794 |
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資源タイプ |
conference paper |
著者 |
YAMAGUCHI, Takashi
NOGUCHI, Yuki
ICHIMURA, Takumi
MACKIN, Kenneth J.
市村, 匠
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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 |
Adaptive tree structured clustering (ATSC) is our proposed divisive hierarchical clustering method that recursively divides a data set into 2 subsets using self-organizing feature map (SOM). In each partition, the data set is quantized by SOM and the quantized data is divided using agglomerative hierarchical clustering. ATSC can divide data sets regardless of data size in feasible time. On the other hand clustering result stability of ATSC is equally unstable as other divisive hierarchical clustering and partitioned clustering methods. In this paper, we apply cluster ensemble for each data partition of ATSC in order to improve stability. Cluster ensemble is a framework for improving partitioned clustering stability. As a result of applying cluster ensemble, ATSC yields unique clustering results that could not be yielded by previous hierarchical clustering methods. This is because a different class distances function is used in each division in ATSC. |
内容記述 |
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内容記述タイプ |
Other |
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内容記述 |
査読有り |
書誌情報 |
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
p. 186-191,
発行日 2009-11
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出版者 |
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出版者 |
IEEE SMC Hiroshima Chapter |
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 |
1883-3977 |
権利 |
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権利情報 |
©Copyright by IEEE SMC Hiroshima Chapter. 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 |