Fuzzy classification using information theoretic learning vector quantization.
Thomas VillmannBarbara HammerFrank-Michael SchleifWieland HermannMarie CottrellPublished in: Neurocomputing (2008)
Keyphrases
- information theoretic
- fuzzy classification
- learning vector quantization
- self organizing maps
- information theory
- mutual information
- neural network
- theoretic framework
- unsupervised learning
- information theoretic measures
- information bottleneck
- entropy measure
- input data
- feature selection
- jensen shannon divergence
- k means
- numerical data
- fuzzy classifier
- pattern recognition
- learning process
- feature vectors
- expert systems
- machine learning