Classified vector quantization using variance classifier and maximum likelihood clustering.
Hazem M. AbbasMoustafa M. FahmyPublished in: Pattern Recognit. Lett. (1994)
Keyphrases
- vector quantization
- maximum likelihood
- image compression
- neural gas
- vector quantizer
- fractal image compression
- clustering method
- clustering algorithm
- data clustering
- reduced complexity
- input vector
- training data
- em algorithm
- unsupervised learning
- k means
- information theoretic
- cluster analysis
- vector quantized
- fractal image coding
- feature selection
- self organizing maps
- feature space
- distortion measure
- finite state vector quantization
- wavelet transform
- support vector
- prediction error
- training set
- data points
- support vector machine
- nearest neighbor