| 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 | 79 | 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 | 52 | 2006 |
| Median fuzzy c-means for clustering dissimilarity data T Geweniger, D Zülke, B Hammer, T Villmann Neurocomputing 73 (7-9), 1109-1116, 2010 | 51 | 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 | 17 | 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 | 17 | 2006 |
| Fuzzy Fleiss-kappa for Comparison of Fuzzy Classifiers. D Zuehlke, T Geweniger, U Heimann, T Villmann ESANN, 2009 | 15 | 2009 |
| Learning vector quantization for heterogeneous structured data. D Zühlke, FM Schleif, T Geweniger, S Haase, T Villmann ESANN, 271-276, 2010 | 13 | 2010 |
| Fuzzy labeled neural gas for fuzzy classification T Villmann, B Hammer, FM Schleif, T Geweniger Workshop on Self-Organizing Maps, 283-290, 2005 | 12 | 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 | 11 | 2011 |
| 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 | 9 | 2013 |
| 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 | 9 | 2011 |
| 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 | 9 | 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 | 8 | 2006 |
| 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 | 6 | 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 | 6 | 2011 |
| Magnification Control in Relational Neural Gas. A Hasenfuss, B Hammer, T Geweniger, T Villmann ESANN, 325-330, 2008 | 6 | 2008 |
| Optimization of Parametrized Divergences in Fuzzy c-Means. T Geweniger, M Kästner, T Villmann ESANN, 2011 | 5 | 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 | 5 | 2009 |
| Fuzzy variants of prototype based clustering and classification algorithms T Geweniger | 4 | 2012 |
| Modified Conn-Index for the evaluation of fuzzy clusterings. T Geweniger, M Kästner, M Lange, T Villmann ESANN, 2012 | 4 | 2012 |
