SPACE DISTORTION AND MONOTONE ADMISSIBILITY IN AGGLOMERATIVE CLUSTERING
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概要
- 論文の詳細を見る
This paper discusses the admissibility of agglomerative hierarchical clustering algorithms with respect to space distortion and monotonicity which were defined by Yadohisa et al. and Batagelj, respectively. Several admissibilities and their properties are given for selecting a clustering algorithm. Necessary and sufficient conditions for an updating formula, as introduced by Lance and Williams, are provided for the proposed admissibility criteria. A detailed explanation of the admissibility of eight popular algorithms is also given.
- 日本行動計量学会の論文
著者
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Inada Koichi
Department Of Mathematics And Computer Science Kagoshima University
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Yadohisa Hiroshi
Department of Mathematics and Computer Science, Kagoshima University
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Takeuchi Akinobu
College of Social Relations, Rikkyo(St. Paul's)University
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Takeuchi Akinobu
College Of Social Relations Rikkyo(st. Paul's)university
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Yadohisa Hiroshi
Department Of Mathematics And Computer Science Kagoshima University
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Yadohisa Hiroshi
Department Of Culture And Information Science Doshisha University
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- SPACE DISTORTION AND MONOTONE ADMISSIBILITY IN AGGLOMERATIVE CLUSTERING
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