HOMALS for Dimension Reduction in Information Retrieval.
Kay F. HildebrandUlrich Müller-FunkPublished in: GfKl (2010)
Keyphrases
- dimension reduction
- information retrieval
- principal component analysis
- data mining and machine learning
- feature extraction
- high dimensional problems
- high dimensional data
- low dimensional
- random projections
- high dimensional
- feature space
- singular value decomposition
- cluster analysis
- variable selection
- information extraction
- manifold learning
- discriminative information
- linear discriminant analysis
- high dimensional data analysis
- dimensionality reduction
- feature selection
- high dimensionality
- partial least squares
- preprocessing
- text mining
- image processing
- qr decomposition
- neural network
- unsupervised learning
- maximum likelihood
- least squares
- association rules
- manifold embedding