Clustering High Dimensional Dynamic Data Streams.
Vladimir BravermanGereon FrahlingHarry LangChristian SohlerLin F. YangPublished in: CoRR (2017)
Keyphrases
- data streams
- high dimensional
- high dimensional data
- clustering algorithm
- k means
- data points
- high dimensionality
- multiple data streams
- sliding window
- high dimensional datasets
- clustering method
- dimensionality reduction
- low dimensional
- unsupervised learning
- dynamic environments
- high dimensional data sets
- high level declarative
- streaming data
- data sets
- stream clustering
- feature space
- multi dimensional
- outlier detection
- nearest neighbor
- continuous data streams
- density based clustering
- similarity search
- sparse data
- subspace clustering
- concept drift
- spectral clustering
- distance metric
- self organizing maps
- sensor networks
- association rules
- neural network