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Application of feature selection methods for automated clustering analysis: a review on synthetic datasets

The effective modelling of high-dimensional data with hundreds to thousands of features remains a challenging task in the field of machine learning. This process is a manually intensive task and requires skilled data scientists to apply exploratory data analysis techniques and statistical methods in...

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Detalles Bibliográficos
Autores principales: Ahmad, Aliyu Usman, Starkey, Andrew
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer London 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5857284/
https://www.ncbi.nlm.nih.gov/pubmed/29576689
http://dx.doi.org/10.1007/s00521-017-3005-9