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Applications of lp-Norms and their Smooth Approximations for Gradient Based Learning Vector Quantization.

, , , and . ESANN, (2014)

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Fuzzy Neural Gas for Unsupervised Vector Quantization., , , and . ICAISC (1), volume 7267 of Lecture Notes in Computer Science, page 350-358. Springer, (2012)Non-Euclidean independent component analysis and Oja's learning., , and . ESANN, (2013)Learning matrix quantization and relevance learning based on Schatten-p-norms., , , , and . Neurocomputing, (2016)Precision-Recall-Optimization in Learning Vector Quantization Classifiers for Improved Medical Classification Systems., , , , and . CIDM, page 71-77. IEEE, (2014)Non-euclidean Principal Component Analysis for Matrices by Hebbian Learning., , and . ICAISC (1), volume 8467 of Lecture Notes in Computer Science, page 77-88. Springer, (2014)Non-Euclidean principal component analysis by Hebbian learning., , and . Neurocomputing, (2015)Modified Conn-Index for the evaluation of fuzzy clusterings., , , and . ESANN, (2012)Non-Euclidean Principal Component Analysis and Oja's Learning Rule - Theoretical Aspects., , , and . WSOM, volume 198 of Advances in Intelligent Systems and Computing, page 23-33. Springer, (2012)Clustering by Fuzzy Neural Gas and Evaluation of Fuzzy Clusters., , , , and . Comp. Int. and Neurosc., (2013)Learning matrix quantization and variants of relevance learning., , , and . ESANN, (2015)