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EnsCat: clustering of categorical data via ensembling
BACKGROUND: Clustering is a widely used collection of unsupervised learning techniques for identifying natural classes within a data set. It is often used in bioinformatics to infer population substructure. Genomic data are often categorical and high dimensional, e.g., long sequences of nucleotides....
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5025633/ https://www.ncbi.nlm.nih.gov/pubmed/27634377 http://dx.doi.org/10.1186/s12859-016-1245-9 |