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A Geometric Clustering Algorithm with Applications to Structural Data
An important feature of structural data, especially those from structural determination and protein-ligand docking programs, is that their distribution could be mostly uniform. Traditional clustering algorithms developed specifically for nonuniformly distributed data may not be adequate for their cl...
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| Publicado no: | J Comput Biol |
|---|---|
| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Mary Ann Liebert, Inc.
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4425229/ https://ncbi.nlm.nih.gov/pubmed/25517067 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1089/cmb.2014.0162 |
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