A Bayesian method for analyzing combinations of continuous, ordinal, and nominal categorical data with missing values.
Xiao ZhangW. John BoscardinThomas R. BelinXiaohai WanYulei HeKui ZhangPublished in: J. Multivar. Anal. (2015)
Keyphrases
- categorical data
- categorical attributes
- bayesian methods
- missing values
- hyperparameters
- numerical data
- cluster analysis
- missing data
- incomplete data
- model selection
- attribute values
- bayesian framework
- numerical attributes
- gaussian processes
- gaussian process
- high dimensional data
- machine learning
- learning algorithm
- imputation methods
- hidden variables
- active learning
- nearest neighbor
- em algorithm
- semi supervised
- noise level
- generative model
- unsupervised learning