Using soft consensus clustering for combining multiple clusterings of chemical structures
The consensus clustering has shown capability to improve the robustness, novelty and stability of individual clusterings in many areas including chemoinformatics. In this paper, graph-based consensus method (cluster-based similarity partitioning algorithm CSPA) and soft consensus clustering were exa...
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| Main Authors: | , |
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| Format: | Article |
| Published: |
Penerbit UTM Press
2013
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/40798/ |
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