StreamKM++: A clustering algorithm for data streams.
Marcel R. AckermannMarcus MärtensChristoph RaupachKamil SwierkotChristiane LammersenChristian SohlerPublished in: ACM J. Exp. Algorithmics (2012)
Keyphrases
- data streams
- clustering algorithm
- sliding window
- streaming data
- stream data
- concept drift
- clusters of arbitrary shapes
- data stream mining
- clustering method
- change detection
- data distribution
- data clustering
- data sets
- sensor networks
- sensor data
- mining data streams
- fuzzy clustering
- clustering analysis
- document clustering
- data stream classification
- fuzzy c means
- k means
- data mining
- stream clustering
- distributed data streams
- itemsets
- cluster analysis
- clustering framework
- clustering ensemble
- hierarchical clustering algorithm
- learning algorithm
- hierarchical clustering
- spectral clustering
- sequential patterns
- outlier detection