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Hill-climbing, density-based clustering and equiprobabilistic topographic maps

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Publication:5938751
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DOI10.1023/A:1008147501226zbMath0970.68599OpenAlexW1492527866MaRDI QIDQ5938751

Marc M. Van Hulle

Publication date: 18 October 2001

Published in: Journal of VLSI Signal Processing Systems for Signal, Image, and Video Technology (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1008147501226


zbMATH Keywords

kernel-based maximum entropy learning ruletopographic maps


Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies and applications (68U99)


Related Items (2)

Investigation of self-organizing map for genetic algorithm ⋮ Divergence-Based Vector Quantization







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