A hierarchical approach to ART-like clustering algorithm

Mu Chun Su; Yi Chun Liu

A hierarchical approach to ART-like clustering algorithm

Mu Chun Su, Yi Chun Liu

資訊工程學系

研究成果: 會議貢獻類型 › 會議論文 › 同行評審

6 引文斯高帕斯（Scopus）

摘要

In this paper, we propose a hierarchical approach to ART-like clustering algorithm which is able to deal with data consisting of arbitrarily geometrical-shaped clusters. Combining hierarchical and ART-like clustering is suggested as a natural feasible solution to the two problems of determining the number of clusters and clustering data. A 2-d artificial data set is tested to demonstrate the performance of the proposed algorithm.

原文	???core.languages.en_GB???
頁面	788-793
頁數	6
出版狀態	已出版 - 2002
事件	2002 International Joint Conference on Neural Networks (IJCNN '02) - Honolulu, HI, United States 持續時間: 12 5月 2002 → 17 5月 2002

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	2002 International Joint Conference on Neural Networks (IJCNN '02)
國家/地區	United States
城市	Honolulu, HI
期間	12/05/02 → 17/05/02

引用此

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AB - In this paper, we propose a hierarchical approach to ART-like clustering algorithm which is able to deal with data consisting of arbitrarily geometrical-shaped clusters. Combining hierarchical and ART-like clustering is suggested as a natural feasible solution to the two problems of determining the number of clusters and clustering data. A 2-d artificial data set is tested to demonstrate the performance of the proposed algorithm.

KW - ART

KW - Cluster analysis

KW - Clustering

KW - Hierarchical partitioning

KW - Unsupervised learning

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M3 - 會議論文

AN - SCOPUS:0036076601

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T2 - 2002 International Joint Conference on Neural Networks (IJCNN '02)

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A hierarchical approach to ART-like clustering algorithm

摘要

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