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A general iterative clustering algorithm
The quality of a cluster analysis of unlabeled units depends on the quality of the between units dissimilarity measures. Data‐dependent dissimilarity is more objective than data independent geometric measures such as Euclidean distance. As suggested by Breiman, many data driven approaches are based...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Wiley Subscription Services, Inc., A Wiley Company
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9438941/ https://www.ncbi.nlm.nih.gov/pubmed/36061078 http://dx.doi.org/10.1002/sam.11573 |