A New Parallel Adaptive Clustering and its Application to Streaming Data.
Benjamin McLaughlinSung Ha KangPublished in: CoRR (2021)
Keyphrases
- streaming data
- streaming time series
- data streams
- concept drift
- anomaly detection
- sliding window
- clustering algorithm
- k means
- incremental clustering
- unsupervised learning
- similarity search
- mining data streams
- data distribution
- stream mining
- continuous data streams
- evolving data streams
- stream data
- massive data streams
- data stream mining
- hierarchical clustering
- incoming data
- training data
- data streaming
- data sets
- query processing
- concept drifting data streams
- data points