A Comparative Analysis of Data Stream Clustering Algorithms.
Tajudeen Akanbi AkinoshoElias TabaneZenghui WangPublished in: Int. J. Comput. (2023)
Keyphrases
- data streams
- clustering algorithm
- stream clustering
- sliding window
- evolving data streams
- concept drift
- data clustering
- k means
- streaming data
- incremental clustering
- density based clustering
- change detection
- data distribution
- fuzzy c means
- outlier detection
- cluster analysis
- data stream management systems
- massive data streams
- document clustering
- clusters of arbitrary shapes
- clustering method
- continuous queries
- arbitrary shape
- transactional data
- data stream mining
- distributed data streams
- data sets
- fuzzy clustering
- itemsets
- evolutionary clustering
- heavy hitters
- stream mining
- high level declarative
- overlapping clusters
- space efficient
- stream data
- clustering quality
- hierarchical clustering
- data mining
- clustering framework
- meaningful clusters
- limited memory
- classification algorithm
- frequent itemsets
- non stationary