Clustering of chemical compounds using unsupervised neural networks algorithms : a comparison
Clustering of chemical databases has tremendous significance in the process of compound selection, virtual screening and in the drug designing and discovery process as a whole. Traditionally, hierarchical methods like Ward’s and Group Average (Gave) and nonhierarchical methods like Jarvis Patrick’s...
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Format: | Conference or Workshop Item |
Language: | English |
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2006
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Online Access: | http://eprints.utm.my/7493/1/NaomiSalim2006_ClusteringofChemicalCompoundsusingUnsupervised.pdf |
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Clustering of Chemical Compounds using Unsupervised Neural Networks Algorithms: a comparison
Published 2006
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Conference or Workshop Item