Meta-iCVI: Ensemble Validity Metrics for Concise Labeling of Correct, Under- or Over-Partitioning in Streaming Clustering.
Niklas MeltonSasha PetrenkoDonald C. WunschPublished in: IEEE Access (2024)
Keyphrases
- unsupervised learning
- clustering algorithm
- clustering scheme
- k means
- clustering method
- graph partitioning
- neural network
- cluster ensemble
- cluster analysis
- data streams
- simultaneous clustering
- clustering ensemble
- document clustering
- video streaming
- entropy measure
- streaming data
- hierarchical clustering
- classifier ensemble
- search results clustering
- random forests
- ensemble methods
- information theoretic
- active learning
- random forest
- data partitioning
- anomaly detection
- peer to peer
- consensus clustering
- data points
- pairwise
- learning algorithm