Minimizing the variance of cluster mixture models for clustering uncertain objects.
Francesco GulloGiovanni PontiAndrea TagarelliPublished in: Stat. Anal. Data Min. (2013)
Keyphrases
- mixture model
- uncertain objects
- probability density function
- overlapping clustering
- uncertain data
- model based clustering
- gaussian mixture model
- density estimation
- em algorithm
- unsupervised learning
- distance calculation
- mixture modeling
- clustering algorithm
- expectation maximization
- generative model
- probabilistic model
- outlier detection
- data clustering
- maximum likelihood
- range searching
- model selection
- distance function
- cluster analysis
- clustering method
- data streams
- language model
- hierarchical clustering
- range queries
- nearest neighbor queries
- bayesian information criterion
- probability distribution
- k means
- finite mixture models
- bayesian framework
- association rules
- cluster structure
- data objects
- data mining
- statistical analysis
- machine learning