Villmann T, Hammer B, Biehl M. Some theoretical aspects of the neural gas vector quantizer. In: Biehl M, Hammer B, Verleysen M, Villmann T, eds. Similarity Based Clustering. Lecture Notes Artificial Intelligence, 5400. Berlin, Heidelberg: Springer; 2009: 23-34
Abstract — Although the “neural-gas ” network proposed by Martinetz et al. in 1993 has been proven f...
Abstract. In the paper, two combinations (consecutive and integrated) of vector quantization methods...
In this paper, we present a comparative analysis of a combination of two vector quantization methods...
Villmann T, Hammer B. Supervised Neural Gas for Learning Vector Quantization. In: Polani D, Kim J, M...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Witoelar A, Biehl M, Ghosh A, Hammer B. Learning dynamics and robustness of vector quantization and ...
Hasenfuss A, Hammer B, Schleif F-M, Villmann T. Neural gas clustering for dissimilarity data with co...
Hammer B, Strickert M, Villmann T. Supervised neural gas with general similarity measure. Neural Pro...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
A large variety of machine learning models which aim at vector quantization have been proposed. Howe...
Clustering algorithms belong to major topics in big data analysis. Their main goal is to separate an...
Copyright © 2013 Tina Geweniger et al.This is an open access article distributed under the Creative ...
Spectral clustering (SC) is one of the most popular clustering methods and often outperforms traditi...
Paaßen B. Relational Neural Gas. Bielefeld University; 2018.This is a Java 7, fully MATLAB (R) compa...
Abstract — Although the “neural-gas ” network proposed by Martinetz et al. in 1993 has been proven f...
Abstract. In the paper, two combinations (consecutive and integrated) of vector quantization methods...
In this paper, we present a comparative analysis of a combination of two vector quantization methods...
Villmann T, Hammer B. Supervised Neural Gas for Learning Vector Quantization. In: Polani D, Kim J, M...
Villmann T, Schleif F-M, Hammer B. Supervised Neural Gas and Relevance Learning in Learning Vector Q...
Witoelar A, Biehl M, Ghosh A, Hammer B. Learning dynamics and robustness of vector quantization and ...
Hasenfuss A, Hammer B, Schleif F-M, Villmann T. Neural gas clustering for dissimilarity data with co...
Hammer B, Strickert M, Villmann T. Supervised neural gas with general similarity measure. Neural Pro...
Schleif F-M, Villmann T. Neural Maps and Learning Vector Quantization - Theory and Applications. In:...
Hammer B, Hofmann D, Schleif F-M, Zhu X. Learning vector quantization for (dis-)similarities. NeuroC...
A large variety of machine learning models which aim at vector quantization have been proposed. Howe...
Clustering algorithms belong to major topics in big data analysis. Their main goal is to separate an...
Copyright © 2013 Tina Geweniger et al.This is an open access article distributed under the Creative ...
Spectral clustering (SC) is one of the most popular clustering methods and often outperforms traditi...
Paaßen B. Relational Neural Gas. Bielefeld University; 2018.This is a Java 7, fully MATLAB (R) compa...
Abstract — Although the “neural-gas ” network proposed by Martinetz et al. in 1993 has been proven f...
Abstract. In the paper, two combinations (consecutive and integrated) of vector quantization methods...
In this paper, we present a comparative analysis of a combination of two vector quantization methods...
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