Kernel-Based Topographic Map Formation by Local Density Modeling

DOI10.1162/08997660260028610zbMath1037.68121OpenAlexW2099577980WikidataQ48571216 ScholiaQ48571216MaRDI QIDQ3150005

Marc M. Van Hulle

Publication date: 2002

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

Full work available at URL: https://doi.org/10.1162/08997660260028610

zbMATH Keywords

learning algorithmgaussian mixture density model

Mathematics Subject Classification ID

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

Related Items (3)

Winner-Relaxing Self-Organizing Maps ⋮ Multivariate Student-\(t\) self-organizing maps ⋮ Topographic map formation of factorized Edgeworth-expanded kernels

Cites Work

• Self-organizing maps: Generalizations and new optimization techniques

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