A mixture model clustering approach for temporal passenger pattern characterization in public transport.
Anne-Sarah BriandEtienne CômeMohamed Khalil El MahrsiLatifa OukhellouPublished in: DSAA (2015)
Keyphrases
- public transport
- mixture model
- unsupervised learning
- density estimation
- mixture modeling
- model based clustering
- em algorithm
- bayesian information criterion
- gaussian mixture model
- generative model
- expectation maximization
- travel time
- probabilistic model
- k means
- probabilistic mixture model
- model selection
- clustering algorithm
- simultaneous clustering
- transport network
- maximum likelihood
- language model
- service quality
- feature selection
- finite mixture model
- hierarchical clustering
- information services
- information systems
- objective function
- high dimensional
- unsupervised classification
- traffic congestion
- prior knowledge