Clustering of Data Streams With Dynamic Gaussian Mixture Models: An IoT Application in Industrial Processes.
Javier Diaz-RozoConcha BielzaPedro LarrañagaPublished in: IEEE Internet Things J. (2018)
Keyphrases
- gaussian mixture model
- industrial processes
- data streams
- mixture model
- clustering algorithm
- industrial process
- em algorithm
- probability density function
- data sets
- unsupervised learning
- neural network
- maximum likelihood
- feature space
- expectation maximization
- self organizing maps
- feature vectors
- covariance matrices
- model based clustering
- object recognition
- fault detection and isolation