Constructing principal manifolds in sparse data sets by self-organizing maps with self-regulating neighborhood width.
Ralf DerGerd BalzuweitMichael HerrmannPublished in: ICNN (1996)
Keyphrases
- self organizing maps
- data sets
- input data
- high dimensional
- neural network
- high dimensional data
- neural gas
- topology preserving
- competitive learning
- sparse representation
- k means
- unsupervised learning
- data mining
- som neural network
- manifold learning
- low dimensional
- sparse coding
- machine learning
- dimensionality reduction
- semi supervised
- artificial neural networks
- training set
- image segmentation
- image processing
- multivariate data
- database