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...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Conference or Workshop Item |
| Language: | English |
| Published: |
2006
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/7493/1/NaomiSalim2006_ClusteringofChemicalCompoundsusingUnsupervised.pdf http://eprints.utm.my/id/eprint/7493/ |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|