Dimensionality reduction with missing values imputation.
Rania Mkhinini GaharOlfa ArfaouiMinyar Sassi HidriNejib Ben Hadj-AlouanePublished in: CoRR (2017)
Keyphrases
- missing values
- dimensionality reduction
- high dimensional data
- data imputation
- high dimensional
- high dimensionality
- low dimensional
- missing data
- incomplete data
- pattern recognition
- principal component analysis
- data points
- data representation
- manifold learning
- feature selection
- missing data imputation
- singular value decomposition
- random projections
- imputation methods
- dimension reduction
- low rank
- feature space
- original data
- principal components
- nearest neighbor
- multiple imputation
- data matrix
- machine learning
- missing information
- neural network
- data sets
- feature values
- alternative approaches
- image processing
- k nearest neighbor