Mixture model clustering for mixed data with missing information.
Lynette A. HuntMurray A. JorgensenPublished in: Comput. Stat. Data Anal. (2003)
Keyphrases
- mixed data
- mixture model
- missing information
- incomplete information
- gaussian mixture model
- data compression
- em algorithm
- clustering algorithm
- density estimation
- data sets
- knn
- generative model
- similarity function
- unsupervised learning
- mixture modeling
- model selection
- probabilistic model
- expectation maximization
- model based clustering
- missing data
- bayesian information criterion
- maximum likelihood
- language model
- missing values
- depth information
- probabilistic mixture model
- neural network
- positive and negative
- three dimensional
- information retrieval
- distance function
- feature space
- data analysis
- bayesian networks
- image processing