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A Novel Artificial Bee Colony Based Clustering Algorithm for Categorical Data
Data with categorical attributes are ubiquitous in the real world. However, existing partitional clustering algorithms for categorical data are prone to fall into local optima. To address this issue, in this paper we propose a novel clustering algorithm, ABC-K-Modes (Artificial Bee Colony clustering...
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| Publicado no: | PLoS One |
|---|---|
| Main Authors: | , , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Public Library of Science
2015
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4439097/ https://ncbi.nlm.nih.gov/pubmed/25993469 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0127125 |
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