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CLAG: an unsupervised non hierarchical clustering algorithm handling biological data
BACKGROUND: Searching for similarities in a set of biological data is intrinsically difficult due to possible data points that should not be clustered, or that should group within several clusters. Under these hypotheses, hierarchical agglomerative clustering is not appropriate. Moreover, if the dat...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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BioMed Central
2012
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3519615/ https://www.ncbi.nlm.nih.gov/pubmed/23216858 http://dx.doi.org/10.1186/1471-2105-13-194 |