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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Detalles Bibliográficos
Autores principales: Ji, Jinchao, Pang, Wei, Zheng, Yanlin, Wang, Zhe, Ma, Zhiqiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2015
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439097/
https://www.ncbi.nlm.nih.gov/pubmed/25993469
http://dx.doi.org/10.1371/journal.pone.0127125

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4439097/
https://www.ncbi.nlm.nih.gov/pubmed/25993469
http://dx.doi.org/10.1371/journal.pone.0127125

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