Ensemble of a subset of kNN classifiers

Combining multiple classifiers, known as ensemble methods, can give substantial improvement in prediction performance of learning algorithms especially in the presence of non-informative features in the data sets. We propose an ensemble of subset of kNN classifiers, ESkNN, for classification task in...

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Detalles Bibliográficos
Autores principales: Gul, Asma, Perperoglou, Aris, Khan, Zardad, Mahmoud, Osama, Miftahuddin, Miftahuddin, Adler, Werner, Lausen, Berthold
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2016
Materias:
Regular Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404785/
https://www.ncbi.nlm.nih.gov/pubmed/30931011
http://dx.doi.org/10.1007/s11634-015-0227-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6404785/
https://www.ncbi.nlm.nih.gov/pubmed/30931011
http://dx.doi.org/10.1007/s11634-015-0227-5

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