Cargando…
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...
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: | |
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 |
Ejemplares similares
-
A Systematic Comparison of Supervised Classifiers
por: Amancio, Diego Raphael, et al.
Publicado: (2014) -
Authorship attribution based on Life-Like Network Automata
por: Machicao, Jeaneth, et al.
Publicado: (2018) -
Local-Sensitive Connectivity Filter (LS-CF): A Post-Processing Unsupervised Improvement of the Frangi, Hessian and Vesselness Filters for Multimodal Vessel Segmentation
por: Rodrigues, Erick O., et al.
Publicado: (2022) -
Statistical physics approach to quantifying differences in myelinated nerve fibers
por: Comin, César H., et al.
Publicado: (2014) -
Probing the Statistical Properties of Unknown Texts: Application to the Voynich Manuscript
por: Amancio, Diego R., et al.
Publicado: (2013)