SMART: Unique Splitting-While-Merging Framework for Gene Clustering

Successful clustering algorithms are highly dependent on parameter settings. The clustering performance degrades significantly unless parameters are properly set, and yet, it is difficult to set these parameters a priori. To address this issue, in this paper, we propose a unique splitting-while-merg...

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Detalles Bibliográficos
Autores principales: Fa, Rui, Roberts, David J., Nandi, Asoke K.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2014
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3979766/
https://www.ncbi.nlm.nih.gov/pubmed/24714159
http://dx.doi.org/10.1371/journal.pone.0094141

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3979766/
https://www.ncbi.nlm.nih.gov/pubmed/24714159
http://dx.doi.org/10.1371/journal.pone.0094141

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