Genetic programming-based clustering using an information theoretic fitness measure.
Neven BoricPablo A. EstévezPublished in: IEEE Congress on Evolutionary Computation (2007)
Keyphrases
- information theoretic
- genetic programming
- information theory
- information theoretic measures
- fitness function
- mutual information
- jensen shannon divergence
- information bottleneck
- entropy measure
- relative entropy
- evolutionary algorithm
- theoretic framework
- kullback leibler divergence
- kl divergence
- similarity measure
- genetic algorithm
- clustering algorithm
- minimum description length
- fitness evaluation
- distributional clustering
- jensen shannon
- computational learning theory
- multi modality
- log likelihood
- dissimilarity measure
- neural network
- selection criterion
- shannon entropy
- distance measure
- pattern recognition
- image processing