On the critical points of the 1-dimensional competitive learning vector quantization algorithm.
Damien LambertonGilles PagèsPublished in: ESANN (1996)
Keyphrases
- competitive learning
- vector quantization
- codebook design
- neural gas
- learning algorithm
- image compression
- critical points
- expectation maximization
- computational complexity
- vector quantizer
- pattern recognition
- k means
- multiresolution
- scale space
- neural network
- image analysis
- self organizing maps
- data clustering
- distortion measure
- reduced complexity
- multiscale
- image processing
- finite state vector quantization