A new feature selection method for Gaussian mixture clustering

DOI10.1016/j.patcog.2008.05.030zbMath1181.68261OpenAlexW2097740639WikidataQ59364559 ScholiaQ59364559MaRDI QIDQ1005612

Hong Zeng, Yiu-ming Cheung

Publication date: 9 March 2009

Published in: Pattern Recognition (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.patcog.2008.05.030

zbMATH Keywords

relevanceclusteringGaussian mixturefeature selectionredundance

Mathematics Subject Classification ID

Pattern recognition, speech recognition (68T10)

Related Items (3)

FuBiNFS -- fuzzy biclustering neuro-fuzzy system ⋮ Efficient feature selection based on correlation measure between continuous and discrete features ⋮ Modelling the role of variables in model-based cluster analysis

Uses Software

• UCI-ml
• PRMLT

Cites Work

• Estimating the dimension of a model
• 10.1162/153244303322753616
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