Pointed subspace approach to incomplete data.
Lukasz StruskiMarek SmiejaJacek TaborPublished in: CoRR (2017)
Keyphrases
- incomplete data
- missing values
- learning bayesian networks
- missing data
- bayesian networks
- em algorithm
- high dimensional data
- subspace clustering
- low dimensional
- principal component analysis
- incomplete data sets
- bayes classifier
- feature space
- dimensionality reduction
- multiple imputation
- typical testors
- variational bayesian
- high dimensional
- feature extraction
- proximal point
- missing attribute values
- model selection
- database
- graphical models
- decision trees
- metadata
- learning algorithm
- data sets