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Hierarchical Clustering Using the Arithmetic-Harmonic Cut: Complexity and Experiments
Clustering, particularly hierarchical clustering, is an important method for understanding and analysing data across a wide variety of knowledge domains with notable utility in systems where the data can be classified in an evolutionary context. This paper introduces a new hierarchical clustering pr...
| Autores principales: | , , , |
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| Formato: | Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2010
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2997101/ https://www.ncbi.nlm.nih.gov/pubmed/21151943 http://dx.doi.org/10.1371/journal.pone.0014067 |