Randomized Greedy Algorithms and Composable Coreset for k-Center Clustering with Outliers.
Hu DingRuomin HuangKai LiuHaikuo YuZixiu WangPublished in: CoRR (2023)
Keyphrases
- greedy algorithms
- greedy algorithm
- outlier detection
- data points
- clustering method
- clustering algorithm
- detecting outliers
- k means
- self organizing maps
- randomized algorithm
- fuzzy clustering
- anomaly detection
- graph theoretic
- information theoretic
- cluster analysis
- hierarchical clustering
- data objects
- data streams
- categorical data
- knowledge discovery
- least squares
- data clustering
- unsupervised learning
- detection algorithm
- data mining
- missing data
- website
- learning algorithm