Effect of normalization of eigenvectors on the past and RP algorithms for PCA.
Ronnie LandqvistAbbas MohammedPublished in: EUSIPCO (2005)
Keyphrases
- principal component analysis
- learning algorithm
- high dimensional
- times faster
- neural network
- computational complexity
- significant improvement
- computational cost
- machine learning algorithms
- covariance matrix
- genetic algorithm
- dimensionality reduction
- computationally efficient
- theoretical analysis
- benchmark datasets