Clustering the Vélib' origin-destinations flows by means of Poisson mixture models.
Andry Njato RandriamanamihagaEtienne CômeLatifa OukhellouGérard GovaertPublished in: ESANN (2013)
Keyphrases
- mixture model
- mixture modeling
- unsupervised learning
- density estimation
- model based clustering
- gaussian mixture model
- finite mixture models
- em algorithm
- overlapping clustering
- generative model
- probabilistic model
- bayesian information criterion
- clustering algorithm
- expectation maximization
- probabilistic mixture model
- clustering method
- k means
- model selection
- finite mixtures
- maximum likelihood
- hierarchical clustering
- probability density function
- language model
- data points
- decision trees
- automatic model selection
- gaussian mixture
- finite mixture model
- high dimensional data
- cluster analysis
- prior knowledge
- data modeling
- mixture components
- closed form
- data sets
- probability distribution
- machine learning
- data mining