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 Patrickâ...
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| Main Authors: | , |
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| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/3060/1/Clustering_of_Chemical_Compounds_using.pdf http://eprints.utm.my/id/eprint/3060/ |
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