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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....
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| Publicado no: | BMC Bioinformatics |
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| Main Authors: | , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
BioMed Central
2016
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5025633/ https://ncbi.nlm.nih.gov/pubmed/27634377 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1186/s12859-016-1245-9 |
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