Clustering algorithms: A comparative approach

Many real-world systems can be studied in terms of pattern recognition tasks, so that proper use (and understanding) of machine learning methods in practical applications becomes essential. While many classification methods have been proposed, there is no consensus on which methods are more suitable...

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Detalles Bibliográficos
Autores principales: Rodriguez, Mayra Z., Comin, Cesar H., Casanova, Dalcimar, Bruno, Odemir M., Amancio, Diego R., Costa, Luciano da F., Rodrigues, Francisco A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2019
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333366/
https://www.ncbi.nlm.nih.gov/pubmed/30645617
http://dx.doi.org/10.1371/journal.pone.0210236

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6333366/
https://www.ncbi.nlm.nih.gov/pubmed/30645617
http://dx.doi.org/10.1371/journal.pone.0210236

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