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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....
Enregistré dans:
| Publié dans: | BMC Bioinformatics |
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| Auteurs principaux: | , , |
| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
BioMed Central
2016
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| Sujets: | |
| Accès en ligne: | 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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