EM Algorithm for Clustering an Ensemble of Graphs with Comb Matching.
Miguel Angel LozanoFrancisco EscolanoPublished in: EMMCVPR (2003)
Keyphrases
- em algorithm
- expectation maximization
- model based clustering
- mixture model
- finite mixture models
- k means
- mixture modeling
- maximum likelihood
- gaussian mixture model
- parameter estimation
- maximum likelihood estimation
- generative model
- density estimation
- unsupervised learning
- matrix factorisation
- gaussian mixture
- log likelihood
- clustering algorithm
- incomplete data
- minimum message length
- likelihood function
- finite mixture model
- hierarchical clustering
- probabilistic mixture model
- clustering method
- expectation maximisation
- data clustering
- training data
- maximum a posteriori
- information theoretic
- hidden variables
- self organizing maps
- probabilistic model
- image processing
- log likelihood function
- categorical data
- ensemble methods
- probability density function
- spectral clustering
- text classification
- document clustering