Incremental density-based ensemble clustering over evolving data streams.
Imran KhanJoshua Zhexue HuangKamen IvanovPublished in: Neurocomputing (2016)
Keyphrases
- evolving data streams
- ensemble clustering
- data streams
- clustering algorithm
- supervised learning
- streaming data
- concept drift
- stream mining
- matrix completion
- data clustering
- random forests
- outlier detection
- single pass
- consensus clustering
- anomaly detection
- k means
- data stream mining
- low rank
- data distribution
- clustering framework
- data analysis
- knowledge discovery