Entropic principal component analysis using Cauchy-Schwarz divergence.
Eduardo K. NakaoAlexandre L. M. LevadaPublished in: Knowl. Inf. Syst. (2023)
Keyphrases
- principal component analysis
- divergence measure
- random projections
- kullback leibler
- dimensionality reduction
- principal components
- covariance matrix
- mutual information
- low dimensional
- feature space
- dimension reduction
- evolutionary programming
- face recognition
- probability models
- relative entropy
- information theory
- independent component analysis
- jensen shannon divergence
- fuzzy c means
- discriminant analysis
- feature extraction
- linear discriminant analysis
- singular value decomposition
- lower dimensional
- dimension reduction methods
- negative matrix factorization
- maximum likelihood
- distance measure
- registration accuracy
- artificial immune system
- information theoretic
- neural classifier
- clustering algorithm
- data sets