Mixture of Non-homogeneous Hidden Markov Models for Clustering and Prediction of Water Consumption Time Series.
Milad Leyli-AbadiAllou SaméLatifa OukhellouNicolas CheifetzPierre MandelCédric FéliersOlivier ChesneauPublished in: IJCNN (2018)
Keyphrases
- hidden markov models
- linear dynamical systems
- sequential data
- water consumption
- mixture distributions
- clustering algorithm
- speech recognition
- markov models
- k means
- conditional random fields
- sequence classification
- discriminative training
- gesture recognition
- random effects
- latent variable models
- hidden state
- baum welch
- expectation maximization
- spatio temporal
- mixture model
- water supply
- pairwise
- viterbi algorithm
- dynamical systems