Greedy Sampling for Approximate Clustering in the Presence of Outliers.
Aditya BhaskaraSharvaree VadgamaHong XuPublished in: NeurIPS (2019)
Keyphrases
- outlier detection
- data points
- clustering algorithm
- clustering method
- greedy algorithm
- information theoretic
- detecting outliers
- monte carlo
- random sampling
- k means
- dynamic programming
- data sets
- document clustering
- hierarchical clustering
- greedy heuristic
- robust statistics
- exact solution
- hill climbing
- imbalanced class distribution
- data clustering
- self organizing maps
- missing data
- search algorithm
- decision trees
- feature selection
- data mining