Near-Optimal Private and Scalable $k$-Clustering.
Vincent Cohen-AddadAlessandro EpastoVahab MirrokniShyam NarayananPeilin ZhongPublished in: NeurIPS (2022)
Keyphrases
- clustering algorithm
- clustering method
- k means
- cluster analysis
- parameter free
- unsupervised learning
- hierarchical clustering
- feature selection
- categorical data
- similarity function
- data clustering
- privacy preserving
- completely unsupervised
- memory efficient
- highly scalable
- graph theoretic
- spectral clustering
- outlier detection
- databases
- high dimensional data
- anomaly detection
- data points
- pairwise
- knowledge base
- data mining