Application of the Modified Imputation Method to Missing Data to Increase Classification Performance.
Elenita T. CapariñoAriel M. SisonRuji P. MedinaPublished in: ICCCS (2019)
Keyphrases
- missing data
- imputation methods
- missing values
- multiple imputation
- data imputation
- structure from motion
- incomplete data
- matrix factorization
- low rank
- pattern recognition
- automatic relevance determination
- missing data imputation
- classification accuracy
- support vector machine svm
- decision trees
- text classification
- knn
- feature extraction
- neural network
- k nearest neighbor
- feature vectors
- k nearest neighbour
- support vector
- feature selection
- learning algorithm