Statistical hierarchical clustering algorithm for outlier detection in evolving data streams.
Dalibor KrlezaBoris VrdoljakMario BrcicPublished in: Mach. Learn. (2021)
Keyphrases
- outlier detection
- hierarchical clustering algorithm
- parameter free
- evolving data streams
- data streams
- stream clustering
- concept drift
- stream mining
- knowledge discovery
- streaming data
- hierarchical clustering
- clustering algorithm
- random forests
- detection algorithm
- data stream mining
- sliding window
- clustering method
- data mining
- range queries
- limited memory
- multi dimensional
- similarity measure
- learning algorithm
- information retrieval