Efficiently Finding the Optimum Number of Clusters in a Dataset with a New Hybrid Cellular Evolutionary Algorithm
A challenge in hybrid evolutionary algorithms is to employ efficient strategies to cover all the search space, applying local search only in actually promising search areas; on the other hand, clustering algorithms, a fundamental base for data mining procedures and learning techniques, suffer from t...
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| Pubblicato in: | Computación y Sistemas |
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| Autori principali: | , , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Instituto Politécnico Nacional
2014
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| Soggetti: | |
| Accesso online: | https://www.redalyc.org/articulo.oa?id=61531305007 |
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