Estimating data stream tendencies to adapt clustering parameters.
Marcelo Keese AlbertiniRodrigo Fernandes de MelloPublished in: Int. J. High Perform. Comput. Netw. (2018)
Keyphrases
- data streams
- outlier detection
- clustering algorithm
- sliding window
- parameter settings
- unsupervised learning
- multiple data streams
- k means
- concept drift
- clustering method
- data clustering
- neural network
- change detection
- categorical data
- parameter values
- cluster analysis
- self organizing maps
- document clustering
- data distribution
- spectral clustering
- hierarchical clustering
- fuzzy clustering
- expectation maximization
- maximum likelihood
- input data
- streaming data
- continuous stream
- database systems
- stream clustering