Tina Geweniger
Tina Geweniger
WHZ Westsächsische Hochschule Zwickau
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Aspects in classification learning-Review of recent developments in Learning Vector Quantization
M Kaden, M Lange, D Nebel, M Riedel, T Geweniger, T Villmann
Foundations of Computing and Decision Sciences 39 (2), 79-105, 2014
Fuzzy classification by fuzzy labeled neural gas
T Villmann, B Hammer, F Schleif, T Geweniger, W Herrmann
Neural Networks 19 (6-7), 772-779, 2006
Median fuzzy c-means for clustering dissimilarity data
T Geweniger, D Zülke, B Hammer, T Villmann
Neurocomputing 73 (7-9), 1109-1116, 2010
Fuzzy variant of affinity propagation in comparison to median fuzzy c-means
T Geweniger, D Zühlke, B Hammer, T Villmann
Advances in Self-Organizing Maps: 7th International Workshop, WSOM 2009, St …, 2009
Fuzzy labeled self-organizing map with label-adjusted prototypes
T Villmann, U Seiffert, FM Schleif, C Brüß, T Geweniger, B Hammer
Artificial Neural Networks in Pattern Recognition: Second IAPR Workshop …, 2006
Learning vector quantization for heterogeneous structured data.
D Zühlke, FM Schleif, T Geweniger, S Haase, T Villmann
ESANN, 271-276, 2010
Fuzzy labeled neural gas for fuzzy classification
T Villmann, B Hammer, FM Schleif, T Geweniger
Workshop on Self-Organizing Maps, 283-290, 2005
Multivariate class labeling in Robust Soft LVQ
P Schneider, T Geweniger, FM Schleif, M Biehl, T Villmann
19th European Symposium on Artificial Neural Networks (ESANN 2011), 17-22, 2011
Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers.
D Zuehlke, T Geweniger, U Heimann, T Villmann
ESANN, 2009
Clustering by fuzzy neural gas and evaluation of fuzzy clusters
T Geweniger, L Fischer, M Kaden, M Lange, T Villmann
Computational intelligence and neuroscience 2013 (1), 165248, 2013
Comparison of cluster algorithms for the analysis of text data using kolmogorov complexity
T Geweniger, FM Schleif, A Hasenfuss, B Hammer, T Villmann
Advances in Neuro-Information Processing: 15th International Conference …, 2009
Prototype based classification using information theoretic learning
T Villmann, B Hammer, FM Schleif, T Geweniger, T Fischer, M Cottrell
Neural Information Processing: 13th International Conference, ICONIP 2006 …, 2006
Relevance learning in unsupervised vector quantization based on divergences
M Kästner, A Backhaus, T Geweniger, S Haase, U Seiffert, T Villmann
Advances in Self-Organizing Maps: 8th International Workshop, WSOM 2011 …, 2011
Fuzzy neural gas for unsupervised vector quantization
T Villmann, T Geweniger, M Kästner, M Lange
International Conference on Artificial Intelligence and Soft Computing, 350-358, 2012
Theory of fuzzy neural gas for unsupervised vector quantization
T Villmann, T Geweniger, M Kästner, M Lange
Machine Learning Reports 5 (MLR-06-2011), 27-46, 2011
Magnification Control in Relational Neural Gas.
A Hasenfuss, B Hammer, T Geweniger, T Villmann
ESANN, 325-330, 2008
Optimization of Parametrized Divergences in Fuzzy c-Means.
T Geweniger, M Kästner, T Villmann
ESANN, 2011
Extending RSLVQ to handle data points with uncertain class assignments
T Geweniger, P Schneider, FM Schleif, M Biehl, T Villmann
Machine Learning Reports 3, 1-17, 2009
Fuzzy variants of prototype based clustering and classification algorithms
T Geweniger
Modified Conn-Index for the evaluation of fuzzy clusterings.
T Geweniger, M Kästner, M Lange, T Villmann
ESANN, 2012
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