Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA.
Dimitrios MavroeidisMichalis VazirgiannisPublished in: ECML (2007)
Keyphrases
- sparse pca
- feature selection
- principal component analysis
- latent semantic indexing
- dimensionality reduction
- feature extraction
- principle component analysis
- feature space
- high dimensional
- principal components analysis
- singular value decomposition
- principal components
- dimension reduction
- independent component analysis
- random projections
- text classification
- discriminant analysis
- text categorization
- appearance based object recognition
- vector space
- data sets
- feature reduction
- low dimensional
- feature subspace
- classification accuracy
- sparse regression
- face recognition
- linear discriminant analysis
- high dimension
- feature selection algorithms
- vector space model
- text retrieval
- high dimensionality
- least squares
- feature vectors
- decision trees
- information retrieval