Keyphrases
- covariance matrix
- high dimensional
- differentially private
- estimation error
- covariance matrices
- principal component analysis
- differential privacy
- low dimensional
- sample size
- mahalanobis distance
- dimensionality reduction
- eigenvalues and eigenvectors
- maximum likelihood estimation
- dimension reduction
- geometrical interpretation
- correlation matrix
- nearest neighbor
- multivariate gaussian
- high dimensional data
- similarity search
- gaussian mixture
- feature space
- data points
- objective function
- evolutionary algorithm
- kernel function
- cloud computing