Generalized orthogonalization: a unified framework for Gram-Schmidt orthogonalization, SVD and PCA.
István SelekJoni VasaraEnso IkonenPublished in: SMC (2022)
Keyphrases
- singular value decomposition
- principal component analysis
- gram schmidt orthogonalization
- dimensionality reduction
- principal components
- principal components analysis
- dimension reduction
- independent component analysis
- face recognition
- low dimensional
- feature extraction
- feature space
- principle component analysis
- face images
- k means
- tensor analysis
- high dimensional
- pattern recognition
- singular values
- generalized discriminant analysis
- covariance matrix
- lower dimensional
- decision trees