Combining multiple clusterings of chemical structures using cumulative voting-based aggregation algorithm
The use of consensus clustering methods in chemoinformatics is motivated because of the success of consensus scoring (data fusion) in virtual screening and also because of the ability of consensus clustering to improve the robustness, novelty, consistency and stability of individual clusterings in o...
Saved in:
Main Authors: | , , , |
---|---|
Format: | Conference or Workshop Item |
Published: |
2013
|
Subjects: | |
Online Access: | http://eprints.utm.my/id/eprint/50945/ http://dx.doi.org/10.1007/978-3-642-36543-0_19 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Universiti Teknologi Malaysia |