Unsupervised classification using hidden Markov chain with unknown noise copulas and margins.
Stéphane DerrodeWojciech PieczynskiPublished in: Signal Process. (2016)
Keyphrases
- markov chain
- unsupervised classification
- steady state
- transition probabilities
- unsupervised learning
- supervised classification
- stationary distribution
- state space
- monte carlo
- monte carlo method
- clustering ensemble
- transition matrix
- data clustering
- random walk
- monte carlo simulation
- markov model
- noise level
- hyperspectral images
- k means
- remote sensing data
- pattern recognition
- maximum likelihood
- data points