Dimensionality Reduction of Massive Sparse Datasets Using Coresets.
Dan FeldmanMikhail VolkovDaniela RusPublished in: NIPS (2016)
Keyphrases
- dimensionality reduction
- high dimensional
- dimensionality reduction methods
- random projections
- sparse representation
- sparse data
- high dimensionality
- feature extraction
- high dimensional data
- low dimensional
- data representation
- massive datasets
- benchmark datasets
- database
- principal component analysis
- data points
- uci machine learning repository
- sparse approximations
- multidimensional scaling
- dealing with high dimensional data
- massive data
- linear discriminant analysis
- data sets
- input space
- sparse coding
- pairwise
- data analysis
- decision trees
- feature selection
- structure preserving
- linear dimensionality reduction
- pattern recognition and machine learning
- neural network