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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Main Authors: | , |
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Format: | Book Section |
Language: | English |
Published: |
Springer Berlin / Heidelberg
2007
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Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/9630/1/NaomieSalim2007_ASoftHierarchicalAlgorithm.pdf http://eprints.utm.my/id/eprint/9630/ http://dx.doi.org/10.1007/978-3-540-71233-6_12 |
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Institution: | Universiti Teknologi Malaysia |
Language: | English |