A mixture model clustering approach for temporal passenger pattern characterization in public transport.
Anne-Sarah BriandEtienne CômeMohamed Khalil El MahrsiLatifa OukhellouPublished in: Int. J. Data Sci. Anal. (2016)
Keyphrases
- public transport
- mixture model
- unsupervised learning
- mixture modeling
- model based clustering
- density estimation
- gaussian mixture model
- em algorithm
- probabilistic model
- expectation maximization
- bayesian information criterion
- k means
- generative model
- probabilistic mixture model
- travel time
- maximum likelihood
- simultaneous clustering
- clustering algorithm
- model selection
- language model
- service quality
- hierarchical clustering
- finite mixture model
- traffic congestion
- unsupervised classification
- gaussian mixture
- information retrieval
- bayesian networks
- transport network
- image processing