A principal components analysis self-organizing map

DOI10.1016/j.neunet.2003.04.001zbMath1121.68381OpenAlexW1982458885WikidataQ52000946 ScholiaQ52000946MaRDI QIDQ1877572

Ezequiel López-Rubio, Jose Antonio Gomez-Ruiz, José Muñoz-Pérez

Publication date: 19 August 2004

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2003.04.001

zbMATH Keywords

Principal component analysisPattern recognitionSelf-organizationUnsupervised learningTopographic mapsSpeech processingCompetitive learningAdaptive subspace self-organizing map

Mathematics Subject Classification ID

Nonnumerical algorithms (68W05) Learning and adaptive systems in artificial intelligence (68T05)

Related Items (1)

Learning multiple linear manifolds with self-organizing networks

Uses Software

• UCI-ml

Cites Work

• The self-organizing map
• Emergence of invariant-feature detectors in the adaptive-subspace self-organizing map
• Exploratory Projection Pursuit
• Unnamed Item

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