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摘要
En 中文
The proposed divisive clustering method performs simultaneously a hierarchy of a set of objects and a monothetic characterization of each cluster of the hierarchy. A division is performed according to the within-cluster inertia criterion which is minimized among the bipartitions induced by a set of binary questions. In order to improve the clustering, the algorithm revises at each step the division which has induced the cluster chosen for division. (C) 1998 Elsevier Science B.V. All rights reserved.
Keyword:
hierarchical clustering methods
monothetic cluster
inertia criterion
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引用论文
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PLoS ONE
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