A novel information-theoretic clustering algorithm for robust, unsupervised classification.
Turgay TemelNizamettin AydinPublished in: ISSPA (2007)
Keyphrases
- information theoretic
- unsupervised classification
- information theory
- clustering algorithm
- clustering ensemble
- mutual information
- data clustering
- theoretic framework
- information theoretic measures
- information bottleneck
- jensen shannon divergence
- entropy measure
- supervised classification
- unsupervised learning
- remote sensing data
- k means
- image registration
- training data
- data analysis
- data mining