Structure Preserving Dimension Reduction for Clustered Text Data Based on the Generalized Singular Value Decomposition.
Peg HowlandMoongu JeonHaesun ParkPublished in: SIAM J. Matrix Anal. Appl. (2003)
Keyphrases
- dimension reduction
- singular value decomposition
- text data
- structure preserving
- dimensionality reduction
- high dimensional data
- high dimensional
- text classification
- text mining
- principal component analysis
- low dimensional
- least squares
- singular values
- structured data
- latent semantic indexing
- random projections
- text documents
- high dimensionality
- document collections
- feature selection
- linear discriminant analysis
- pattern recognition
- data points
- feature space
- feature extraction
- null space
- data sets
- qr decomposition
- unsupervised learning
- image classification
- support vector machine
- knowledge discovery
- active learning
- information retrieval
- machine learning
- neural network