Limitations of Self-organizing Maps for Vector Quantization and Multidimensional Scaling.
Arthur FlexerPublished in: NIPS (1996)
Keyphrases
- vector quantization
- multidimensional scaling
- self organizing maps
- neural gas
- image compression
- cluster analysis
- low dimensional
- vector quantizer
- competitive learning
- neural network
- dimensionality reduction
- input data
- k means
- unsupervised learning
- euclidean distance
- kernel pca
- vector space
- text mining
- principal component analysis
- clustering algorithm
- feature space
- computer vision
- image segmentation
- pattern recognition