Fuzzy classification using information theoretic learning vector quantization

Thomas Villmann; Barbara Hammer; Frank-Michael Schleif; W. Hermann; Marie Cottrell

doi:10.1016/j.neucom.2008.04.048

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Fuzzy classification using information theoretic learning vector quantization

Thomas Villmann Barbara Hammer Frank-Michael Schleif W. Hermann Marie Cottrell

Year: 2008 Journal: Neurocomputing Vol: 71 (16-18)Pages: 3070-3076 Publisher: Elsevier BV

DOI: 10.1016/j.neucom.2008.04.048

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Keywords:

Learning vector quantization Vector quantization Artificial intelligence Unsupervised learning Computer science Euclidean distance Semi-supervised learning Machine learning Pattern recognition (psychology) Fuzzy logic Mathematics

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Face and Expression Recognition

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Neural Networks and Applications

Physical Sciences → Computer Science → Artificial Intelligence

Fractal and DNA sequence analysis

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Fuzzy classification using information theoretic learning vector quantization

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