Low Rank Matrix Approximation for Imputing Missing Categorical Data.
Joseph Muthui WaciraDinna RanirinaBubacarr BahPublished in: SACAIR (2021)
Keyphrases
- categorical data
- low rank matrix approximation
- missing values
- matrix completion
- missing data
- incomplete data
- cluster analysis
- numerical data
- low rank
- low rank approximation
- high dimensional data
- attribute values
- imputation methods
- spectral clustering
- pattern recognition
- data mining
- singular value decomposition
- data sets
- data clustering
- similarity measure
- computer vision