A combined algorithm for weighting the variables and clustering in the clustering problem

DOI10.1016/0031-3203(82)90001-2zbMath0473.62049OpenAlexW2006638151MaRDI QIDQ1158704

Vladimir J. Lumelsky

Publication date: 1982

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

Full work available at URL: https://doi.org/10.1016/0031-3203(82)90001-2

zbMATH Keywords

classificationpattern recognitionclusteringextremal algorithm of weighting

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Pattern recognition, speech recognition (68T10)

Related Items (1)

Feature-weighted clustering with inner product induced norm based dissimilarity measures: an optimization perspective

Cites Work

• Validity studies in clustering methodologies
• On information and distance measures, error bounds, and feature selection
• Printer graphics for clustering
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