Clustering with position-specific constraints on variance: Applying redescending M-estimators to label-free LC-MS data analysis

BACKGROUND: Clustering is a widely applicable pattern recognition method for discovering groups of similar observations in data. While there are a large variety of clustering algorithms, very few of these can enforce constraints on the variation of attributes for data points included in a given clus...

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Detalles Bibliográficos
Autores principales: Frühwirth, Rudolf, Mani, D R, Pyne, Saumyadipta
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178548/
https://www.ncbi.nlm.nih.gov/pubmed/21884583
http://dx.doi.org/10.1186/1471-2105-12-358

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3178548/
https://www.ncbi.nlm.nih.gov/pubmed/21884583
http://dx.doi.org/10.1186/1471-2105-12-358

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