Dimension Reduction by Local Principal Component Analysis.
Nanda KambhatlaTodd K. LeenPublished in: Neural Comput. (1997)
Keyphrases
- dimension reduction
- principal component analysis
- low dimensional
- dimensionality reduction
- linear discriminant analysis
- feature extraction
- high dimensional problems
- data mining and machine learning
- face recognition
- principal components
- random projections
- variable selection
- feature space
- dimension reduction methods
- singular value decomposition
- manifold learning
- covariance matrix
- partial least squares
- cluster analysis
- discriminative information
- independent component analysis
- high dimensional
- principle component analysis
- high dimensional data analysis
- sparse metric learning
- high dimensionality
- lower dimensional
- feature selection
- data sets
- face images
- decision trees
- image processing
- manifold embedding
- linear projection
- computer vision
- neural network