Cluster-Dependent Feature Selection through a Weighted Learning Paradigm

DOI10.1007/978-3-642-00580-0_8zbMATH Open1202.68343OpenAlexW1831534891MaRDI QIDQ4932766

Younès Bennani, Mustapha Lebbah, Nistor Grozavu

Publication date: 6 October 2010

Published in: Advances in Knowledge Discovery and Management (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/978-3-642-00580-0_8

zbMATH Keywords

self-organizing mapweighted learningcluster characterizationtopographic clusteringunsupervised features selection

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (1)

Concept learning and feature selection based on square-error clustering

Uses Software

• UCI-ml

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