Clustering acoustic emission data streams with sequentially appearing clusters using mixture models.
Emmanuel RamassoThierry DenoeuxGaël ChevallierPublished in: CoRR (2021)
Keyphrases
- mixture model
- model based clustering
- data streams
- clustering algorithm
- bayesian information criterion
- acoustic emission
- unsupervised learning
- hierarchical clustering
- multiple data streams
- density estimation
- mixture modeling
- gaussian mixture model
- finite mixture models
- cluster analysis
- em algorithm
- overlapping clustering
- probabilistic model
- condition monitoring
- generative model
- clustering approaches
- model selection
- subspace projections
- expectation maximization
- clustering method
- data points
- k means
- document clustering
- outlier detection
- mixture components
- maximum likelihood
- data sets
- language model
- cluster structure
- cluster centers
- spectral clustering
- subspace clustering
- automatic model selection
- gaussian mixture
- computer vision
- concept drift