Spectral Clustering Based on Local PCA.
Ery Arias-CastroGilad LermanTeng ZhangPublished in: J. Mach. Learn. Res. (2017)
Keyphrases
- principal component analysis
- principal components analysis
- principal components
- hyperspectral data
- face recognition
- dimensionality reduction
- feature extraction
- hyperspectral imagery
- covariance matrix
- hyperspectral
- spectral analysis
- hyperspectral images
- high dimensional
- kernel pca
- spectral features
- infrared
- principle component analysis
- independent component analysis
- dimension reduction
- negative matrix factorization
- multispectral images
- face images
- low dimensional
- feature space
- subspace methods
- linear discriminant analysis
- extracting features
- image segmentation
- spectral data
- k means
- introducing additional