Enforcement of the principal component analysis-extreme learning machine algorithm by linear discriminant analysis.
Adiel CastañoFrancisco Fernández-NavarroAnnalisa RiccardiCésar Hervás-MartínezPublished in: Neural Comput. Appl. (2016)
Keyphrases
- principal component analysis
- linear discriminant analysis
- discriminant analysis
- feature extraction
- qr decomposition
- extreme learning machine
- dimensionality reduction
- objective function
- k means
- feature space
- learning algorithm
- probabilistic model
- dimension reduction
- feature vectors
- multi class
- support vector
- expectation maximization
- covariance matrix
- bayesian networks
- principal components
- feed forward neural networks
- neural network