Data stream clustering for low-cost machines.
Christophe CérinKeiji KimuraMamadou SowPublished in: J. Parallel Distributed Comput. (2022)
Keyphrases
- low cost
- data streams
- outlier detection
- clustering algorithm
- k means
- sliding window
- unsupervised learning
- clustering method
- data points
- data clustering
- multiple data streams
- anomaly detection
- cluster analysis
- change detection
- concept drift
- categorical data
- streaming data
- low power
- data mining
- distributed data streams
- document clustering
- information theoretic
- data objects
- digital camera
- data distribution
- non stationary
- semi supervised
- transactional data
- high dimensional
- data sets