A new hybrid filter–wrapper feature selection method for clustering based on ranking

Saúl Solorio-Fernández; Jesús Ariel Carrasco-Ochoa; José Fco. Martínez-Trinidad

doi:10.1016/j.neucom.2016.07.026

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A new hybrid filter–wrapper feature selection method for clustering based on ranking

Saúl Solorio-Fernández Jesús Ariel Carrasco-Ochoa José Fco. Martínez-Trinidad

Year: 2016 Journal: Neurocomputing Vol: 214 Pages: 866-880 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2016.07.026

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Keywords:

Feature selection Cluster analysis Computer science Pattern recognition (psychology) Artificial intelligence Filter (signal processing) Cardinality (data modeling) Feature (linguistics) Ranking (information retrieval) Data mining Selection (genetic algorithm) Machine learning

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Advanced Clustering Algorithms Research

Physical Sciences → Computer Science → Artificial Intelligence

Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

A new hybrid filter–wrapper feature selection method for clustering based on ranking

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