Simultaneous extraction of Principal Components using givens rotations and output variances.
Deniz ErdogmusYadunandana N. RaoJosé C. PríncipeJing ZhaoKenneth E. Hild IIPublished in: ICASSP (2002)
Keyphrases
- principal components
- principal component analysis
- multivariate data
- dimensionality reduction
- correlation coefficient
- kernel space
- principal components analysis
- hyperplane
- information extraction
- principal component regression
- kernel principal component analysis
- independent components
- spectral data
- sparse matrix
- lower bound
- pattern recognition
- data mining
- neural network
- data sets