CLAG: an unsupervised non hierarchical clustering algorithm handling biological data

BACKGROUND: Searching for similarities in a set of biological data is intrinsically difficult due to possible data points that should not be clustered, or that should group within several clusters. Under these hypotheses, hierarchical agglomerative clustering is not appropriate. Moreover, if the dat...

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Detalles Bibliográficos
Autores principales: Dib, Linda, Carbone, Alessandra
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519615/
https://www.ncbi.nlm.nih.gov/pubmed/23216858
http://dx.doi.org/10.1186/1471-2105-13-194

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519615/
https://www.ncbi.nlm.nih.gov/pubmed/23216858
http://dx.doi.org/10.1186/1471-2105-13-194

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