Keyphrases
- principal component analysis
- principal components analysis
- principle component analysis
- principal components
- dimensionality reduction
- feature extraction
- high dimensional
- face recognition
- independent component analysis
- covariance matrix
- k means
- low dimensional
- singular value decomposition
- phylogenetic trees
- kernel pca
- feature space
- evolutionary history
- extracting features
- dimension reduction methods
- tangent space
- data mining
- negative matrix factorization
- dimension reduction
- discriminant analysis
- linear discriminant analysis
- svm classifier
- face images
- clustering algorithm
- computer vision
- machine learning