On the use of self-organizing maps to accelerate vector quantization.
Eric de BodtMarie CottrellPatrick LetrémyMichel VerleysenPublished in: Neurocomputing (2004)
Keyphrases
- vector quantization
- self organizing maps
- neural gas
- image compression
- neural network
- vector quantizer
- unsupervised learning
- input data
- competitive learning
- distortion measure
- k means
- reduced complexity
- data sets
- feature maps
- probabilistic neural network
- codebook design
- wavelet transform
- machine learning
- successive approximation