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Blind method for discovering number of clusters in multidimensional datasets by regression on linkage hierarchies generated from random data
Determining intrinsic number of clusters in a multidimensional dataset is a commonly encountered problem in exploratory data analysis. Unsupervised clustering algorithms often rely on specification of cluster number as an input parameter. However, this is typically not known a priori. Many methods h...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2020
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6977736/ https://www.ncbi.nlm.nih.gov/pubmed/31971953 http://dx.doi.org/10.1371/journal.pone.0227788 |