Sampling in Dirichlet Process Mixture Models for Clustering Streaming Data.
Or DinariOren FreifeldPublished in: AISTATS (2022)
Keyphrases
- streaming data
- dirichlet process mixture models
- data streams
- streaming time series
- sampling algorithm
- concept drift
- sliding window
- generative model
- bayesian model
- anomaly detection
- dictionary learning
- missing data
- semi supervised learning
- data distribution
- unsupervised learning
- evolving data streams
- clustering algorithm
- high dimensional data
- random sampling
- bayesian networks
- data mining
- non stationary
- markov chain monte carlo
- data points
- active learning