On the Anonymization of Sparse High-Dimensional Data.
Gabriel GhinitaYufei TaoPanos KalnisPublished in: ICDE (2008)
Keyphrases
- high dimensional data
- high dimensional
- sparse representation
- dimensionality reduction
- low dimensional
- nearest neighbor
- high dimension
- high dimensionality
- data sets
- subspace clustering
- high dimensions
- data analysis
- data points
- similarity search
- original data
- high dimensional feature spaces
- privacy preserving
- dimension reduction
- input space
- manifold learning
- missing values
- data distribution
- sparse coding
- low rank
- high dimensional spaces
- variable selection
- random projections
- lower dimensional
- text data
- input data
- underlying manifold
- nonlinear dimensionality reduction
- feature space
- dimensional data
- clustering high dimensional data
- high dimensional data sets
- high dimensional datasets
- subspace learning
- linear discriminant analysis
- training data
- feature extraction
- multi dimensional
- diffusion maps
- feature vectors