StreamKM++: A Clustering Algorithms for Data Streams.
Marcel R. AckermannChristiane LammersenMarcus MärtensChristoph RaupachChristian SohlerKamil SwierkotPublished in: ALENEX (2010)
Keyphrases
- data streams
- clustering algorithm
- stream clustering
- sliding window
- concept drift
- streaming data
- data clustering
- incremental clustering
- stream data
- fuzzy c means
- cluster analysis
- evolving data streams
- data sets
- change detection
- sensor networks
- k means
- clustering method
- data distribution
- document clustering
- stream mining
- hierarchical clustering
- overlapping clusters
- density based clustering
- graph partitioning
- mining data streams
- distributed data streams
- clusters of arbitrary shapes
- unsupervised clustering
- frequent itemsets
- continuous queries
- sensor data
- outlier detection
- data stream mining
- incoming data
- fuzzy clustering
- clustering ensemble
- spectral clustering
- high level declarative
- itemsets
- evolutionary clustering
- continuous data streams
- density based clustering algorithm
- anytime algorithms
- consensus clustering
- clustering framework