A novel feature selection approach based on clustering algorithm

DOI10.1080/00949655.2020.1822358OpenAlexW3089960459MaRDI QIDQ5033944

Abdorrahman Haeri, Fateme Moslehi

Publication date: 24 February 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2020.1822358

zbMATH Keywords

clusteringdata miningfeature selectionK-means algorithm

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• WOA

Cites Work

• Unnamed Item
• Unnamed Item
• Feature subset selection in large dimensionality domains
• On fuzzy approximation operators in attribute reduction with fuzzy rough sets
• Wrappers for feature subset selection
• Evaluating feature selection methods for learning in data mining applications.
• Unsupervised feature selection by regularized self-representation
• Randomized Dimensionality Reduction for <inline-formula> <tex-math notation="LaTeX">$k$ </tex-math></inline-formula>-Means Clustering

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