Clustering High Dimensional Dynamic Data Streams.
Vladimir BravermanGereon FrahlingHarry LangChristian SohlerLin F. YangPublished in: ICML (2017)
Keyphrases
- data streams
- high dimensional
- data points
- sliding window
- high dimensionality
- high dimensional data
- clustering method
- dynamic environments
- high level declarative
- clustering algorithm
- multi dimensional
- low dimensional
- k means
- multiple data streams
- dimensionality reduction
- unsupervised learning
- nearest neighbor
- high dimensional data sets
- categorical data
- sensor networks
- high dimensional spaces
- input space
- stream data
- fuzzy clustering
- outlier detection
- data sets
- similarity search
- wireless sensor networks
- sensor data
- high dimensional data space
- high dimensional datasets
- stream clustering
- concept drift
- manifold learning
- hierarchical clustering
- parameter space
- gene expression data
- information theoretic
- anomaly detection
- neural network