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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