Dimensionality Reduction of Massive Sparse Datasets Using Coresets.
Dan FeldmanMikhail VolkovDaniela RusPublished in: CoRR (2015)
Keyphrases
- dimensionality reduction
- high dimensional
- dimensionality reduction methods
- sparse representation
- random projections
- low dimensional
- feature extraction
- principal component analysis
- structure preserving
- data analysis
- high dimensionality
- massive datasets
- massive data
- dictionary learning
- data representation
- uci machine learning repository
- feature space
- sparse approximations
- database
- dealing with high dimensional data
- training dataset
- high dimensional data
- multi class
- pattern recognition
- feature selection
- principal components
- sparse data
- compressive sensing
- singular value decomposition
- compressed sensing
- knn
- binary matrices
- neural network