An Information-Theoretic-Cluster Visualization for Self-Organizing Maps.
Leonardo Enzo Brito da SilvaDonald C. WunschPublished in: IEEE Trans. Neural Networks Learn. Syst. (2018)
Keyphrases
- self organizing maps
- information theoretic
- som neural network
- mutual information
- information theory
- distributional clustering
- competitive learning
- theoretic framework
- neural network
- unsupervised learning
- information bottleneck
- visualization methods
- information theoretic measures
- jensen shannon divergence
- clustering algorithm
- input data
- kullback leibler divergence
- data clustering
- image registration
- k means
- neural gas
- growing hierarchical self organizing map
- kl divergence
- feature maps
- machine learning
- relative entropy
- cluster analysis
- data points
- feature space
- network anomaly detection
- face recognition
- data mining