General entropy criteria for inverse problems, with applications to data compression, pattern classification, and cluster analysis.
Lee K. JonesCharles L. ByrnePublished in: IEEE Trans. Inf. Theory (1990)
Keyphrases
- pattern classification
- data compression
- cluster analysis
- inverse problems
- categorical data
- clustering method
- clustering algorithm
- data mining
- pattern recognition
- k means
- feature extraction
- hierarchical latent class models
- image reconstruction
- unsupervised learning
- compression ratio
- global optimization
- compression algorithm
- data mining techniques
- optimization problems
- data analysis
- fuzzy c means
- optimization methods
- early vision
- multiscale
- simulated annealing
- convex optimization
- image processing
- data sets
- multiresolution