: Extending a high quality true anytime data stream clustering algorithm.
Jean Paul BarddalHeitor Murilo GomesFabrício EnembreckJean-Paul A. BarthèsPublished in: Inf. Syst. (2016)
Keyphrases
- data streams
- high quality
- clustering algorithm
- stream clustering
- anytime algorithms
- sliding window
- streaming data
- data clustering
- concept drift
- change detection
- k means
- space efficient
- low quality
- evolving data streams
- distributed data streams
- data distribution
- cluster analysis
- fuzzy c means
- clustering method
- image quality
- higher quality
- clustering analysis
- outlier detection
- data stream mining
- continuous stream
- continuous data streams
- transactional data
- hierarchical clustering
- stream mining
- massive data streams
- data stream management systems
- hierarchical clustering algorithm
- data sets
- spectral clustering
- depth map
- itemsets
- ground truth
- data structure
- data mining