Self-organizing maps
Clustering based on conditional distributions in an auxiliary space
Neural Computation
Generalized relevance learning vector quantization
Neural Networks - New developments in self-organizing maps
Supervised Neural Gas with General Similarity Measure
Neural Processing Letters
Fuzzy classification by fuzzy labeled neural gas
Neural Networks - 2006 Special issue: Advances in self-organizing maps--WSOM'05
Topology preservation in self-organizing feature maps: exact definition and measurement
IEEE Transactions on Neural Networks
FLSOM with Different Rates for Classification in Imbalanced Datasets
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part I
Median Topographic Maps for Biomedical Data Sets
Similarity-Based Clustering
Fuzzy labeled self-organizing map with kernel-based topographic map formation
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Fuzzy supervised self-organizing map for semi-supervised vector quantization
ICAISC'12 Proceedings of the 11th international conference on Artificial Intelligence and Soft Computing - Volume Part I
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We extend the self-organizing map (SOM) in the form as proposed by Heskes to a supervised fuzzy classification method. On the one hand, this leads to a robust classifier where efficient learning with fuzzy labeled or partially contradictory data is possible. On the other hand, the integration of labeling into the location of prototypes in a SOM leads to a visualization of those parts of the data relevant for the classification.