A dimension reduction in neural network using copula matrix.
Ayyub SheikhiRadko MesiarMartin HolenaPublished in: Int. J. Gen. Syst. (2023)
Keyphrases
- dimension reduction
- neural network
- singular value decomposition
- qr decomposition
- principal component analysis
- feature extraction
- data mining and machine learning
- linear discriminant analysis
- high dimensional
- low dimensional
- dimensionality reduction
- high dimensional problems
- random projections
- high dimensional data
- variable selection
- cluster analysis
- pattern recognition
- singular values
- low rank
- covariance matrix
- feature space
- null space
- feature selection
- manifold learning
- unsupervised learning
- least squares
- partial least squares
- high dimensional data analysis
- dimension reduction methods
- self organizing maps
- preprocessing
- discriminative information
- decomposition method
- high dimensionality
- discriminant analysis
- data mining