Differentially Private Clustering in High-Dimensional Euclidean Spaces.
Maria-Florina BalcanTravis DickYingyu LiangWenlong MouHongyang ZhangPublished in: ICML (2017)
Keyphrases
- euclidean space
- differentially private
- high dimensional
- data points
- low dimensional
- higher dimensional
- high dimensional data
- metric space
- high dimensionality
- riemannian manifolds
- shape analysis
- dimensionality reduction
- differential privacy
- euclidean distance
- parameter space
- multi dimensional
- nearest neighbor
- vector space
- similarity search
- outlier detection
- x ray
- manifold learning
- input data
- geodesic distance
- databases