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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...
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| Autori principali: | , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Public Library of Science
2010
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2997101/ https://ncbi.nlm.nih.gov/pubmed/21151943 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0014067 |
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