SOM: Stochastic initialization versus principal components.
Ayodeji A. AkindukoEvgeny M. MirkesAlexander N. GorbanPublished in: Inf. Sci. (2016)
Keyphrases
- principal components
- k means
- principal component analysis
- self organizing maps
- multivariate data
- dimensionality reduction
- competitive learning
- principal components analysis
- high dimensional
- feature vectors
- kernel space
- correlation coefficient
- neural network
- hyperplane
- linear features
- feature set
- input space
- kohonen self organizing map
- principal component regression
- data sets
- kernel principal component analysis
- growing self organizing map
- topology preserving
- covariance matrix
- unsupervised learning
- supervised learning
- support vector
- feature extraction
- data mining