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...
| Asıl Yazarlar: | , |
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| Materyal Türü: | Book Section |
| Dil: | English |
| Baskı/Yayın Bilgisi: |
Springer Berlin / Heidelberg
2007
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| Konular: | |
| Online Erişim: | http://eprints.utm.my/9630/1/NaomieSalim2007_ASoftHierarchicalAlgorithm.pdf |