Pointed Subspace Approach to Incomplete Data.
Lukasz StruskiMarek SmiejaJacek TaborPublished in: J. Classif. (2020)
Keyphrases
- incomplete data
- learning bayesian networks
- missing values
- missing data
- em algorithm
- bayesian networks
- input data
- incomplete data sets
- low dimensional
- high dimensional data
- linear subspace
- principal component analysis
- subspace clustering
- feature space
- high dimensional
- variational bayesian
- training data
- irrelevant attributes
- typical testors
- maximum likelihood
- dimensionality reduction
- bayes classifier
- metadata
- classification rules
- similarity measure
- feature extraction