An Out of Sample Version of the EM Algorithm for Imputing Missing Values in Classification.
Sergio CamposAlejandro VelozHéctor AllendePublished in: CIARP (2018)
Keyphrases
- missing values
- em algorithm
- incomplete data
- expectation maximization
- missing data
- hidden variables
- data imputation
- mixture model
- maximum likelihood
- imputation methods
- density estimation
- missing attribute values
- pattern recognition
- gaussian mixture model
- parameter estimation
- multivariate temporal data
- generative model
- decision trees
- gaussian mixture
- maximum likelihood estimation
- unseen data
- high dimensional data
- unsupervised learning
- machine learning
- text classification
- expectation maximisation
- principal component analysis
- probability density function
- feature extraction
- data mining
- image segmentation
- support vector
- feature space
- dimension reduction
- training set