Data Clustering Using the Concept of Psychological Potential Field (Special Issue on Computer Vision)
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概要
- 論文の詳細を見る
A new approach of data clustering which is capable of detecting linked or crossed clusters, is proposed. In conventional clustering approaches, it is a hard work to separate linked or crossed clusters if the cluster prototypes are difficult to be represented by a mathematical formula. In this paper, we extract the force information from data points using the concept of psychological potential field, and utilize the information to measure the similarity between data points. Through several experiments, the force shows its effectiveness in discriminating different clusters even if they are linked or corssed.
- 社団法人電子情報通信学会の論文
- 1994-11-25
著者
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SHIMIZU Eiji
Department of Electrical Engineering, Faculty of Engineering, Osaka City University
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Shimizu E
Osaka City Univ.
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Shimizu E
Osaka City Univ. Osaka‐shi Jpn
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Zhang Yitong
Faculty Of Engineering Osaka City University
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Shigeta K
Osaka City Univ.
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Shigeta Kazuo
Faculty Of Engineering Osaka City University
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Shigeta Kazuo
Department Of Physics Osaka City University
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Zhang Yitong
Department of Electrical Engineering, Osaka City University
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Shimizu Eiji
Department Of Electrical Engineering Osaka City University
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Shigeta Kazuo
Department of Electrical Engineering, Faculty of Engineering, Osaka City University
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