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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2011
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| 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 |