A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds

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A soft hierarchical algorithm for the clustering of multiple bioactive chemical compounds

Most of the clustering methods used in the clustering of chemical structures such as Wards, Group Average, K- means and Jarvis-Patrick, are known as hard or crisp as they partition a dataset into strictly disjoint subsets; and thus are not suitable for the clustering of chemical structures exhibitin...

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Bibliographic Details
Main Authors:	Salim, Naomie, Shah, J. Z.
Format:	Book Section
Language:	English
Published:	Springer Berlin / Heidelberg 2007
Subjects:	QA75 Electronic computers. Computer science
Online Access:	http://eprints.utm.my/9630/ http://eprints.utm.my/9630/1/NaomieSalim2007_ASoftHierarchicalAlgorithm.pdf

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