Applying Cluster Ensemble to Adaptive Tree Structured Clustering

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/5175
ファイル
タイトル
Applying Cluster Ensemble to Adaptive Tree Structured Clustering
著者
氏名 YAMAGUCHI Takashi
ヨミ ヤマグチ タカシ
別名 市村 匠
氏名 NOGUCHI Yuki
ヨミ ノグチ ユキ
別名
氏名 ICHIMURA Takumi
ヨミ イチムラ タクミ
別名
氏名 MACKIN Kenneth J.
ヨミ マッキン ケネスジェームス
別名
抄録

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.

査読の有無
掲載雑誌名
5th International Workshop on Computational Intelligence & Applications Proceedings : IWCIA 2009
開始ページ
186
終了ページ
191
出版年月日
2009-11
出版者
IEEE SMC Hiroshima Chapter
ISSN
1883-3977
本文言語
英語
資料タイプ
会議発表論文
著者版フラグ
出版社版
権利情報
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旧URI
区分
hiroshima-cu