Adaptive Kernel Data Streams Clustering Based on Neural Networks Ensembles in Conditions of Uncertainty About Amount and Shapes of Clusters.
Polina Ye. ZhernovaAnastasiia O. DeinekoYevgeniy V. BodyanskiyVladyslav O. RiepinPublished in: DSMP (2018)
Keyphrases
- data streams
- neural network
- clusters of arbitrary shapes
- self organizing maps
- sliding window
- clustering algorithm
- uncertain data
- data distribution
- evolving data streams
- arbitrary shape
- shape analysis
- pattern recognition
- kernel function
- input space
- streaming data
- sensor networks
- density based clustering
- data sets
- concept drift
- feature space
- kernel methods
- document clustering
- multiple data streams
- multi dimensional data
- shape matching
- decision trees
- cluster analysis
- back propagation
- genetic algorithm
- sufficient conditions
- support vector machine
- image segmentation
- continuous data streams
- neural network ensemble
- artificial neural networks
- data points
- knn
- normalized cut
- shape descriptors
- continuous queries
- training process
- ensemble learning
- neural network model