Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data.
Or DinariOren FreifeldPublished in: CoRR (2022)
Keyphrases
- streaming data
- dirichlet process mixture models
- data streams
- concept drift
- streaming time series
- dictionary learning
- bayesian model
- sliding window
- generative model
- semi supervised learning
- missing data
- clustering algorithm
- anomaly detection
- data distribution
- evolving data streams
- sampling algorithm
- k means
- data sets
- machine learning
- pattern recognition
- sparse representation
- random sampling
- reinforcement learning
- decision trees
- unsupervised learning
- query processing
- image classification
- feature selection
- support vector machine