Principal component analysis combined with truncated-Newton minimization for dimensionality reduction of chemical databases.
Dexuan XieSuresh B. SinghEugene M. FluderPublished in: Math. Program. (2003)
Keyphrases
- dimensionality reduction
- principal component analysis
- databases
- principal components
- low dimensional
- manifold learning
- face recognition
- feature space
- linear discriminant analysis
- dimensionality reduction methods
- dimension reduction
- random projections
- pattern recognition
- high dimensionality
- singular value decomposition
- covariance matrix
- feature extraction
- high dimensional
- linear projection
- discriminant analysis
- high dimensional data
- knowledge discovery
- independent component analysis
- database systems
- feature selection
- lower dimensional
- face images
- data model
- kernel pca
- database
- data representation
- pattern recognition and machine learning
- linear dimensionality reduction
- nonlinear dimensionality reduction
- objective function
- support vector machine
- computer vision
- metric learning
- machine learning
- locally linear embedding
- relational databases
- neural network
- database applications