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Fast approximate hierarchical clustering using similarity heuristics
BACKGROUND: Agglomerative hierarchical clustering (AHC) is a common unsupervised data analysis technique used in several biological applications. Standard AHC methods require that all pairwise distances between data objects must be known. With ever-increasing data sizes this quadratic complexity pos...
| Autores principales: | , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
BioMed Central
2008
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2561018/ https://www.ncbi.nlm.nih.gov/pubmed/18822115 http://dx.doi.org/10.1186/1756-0381-1-9 |