Imputation Using a Correlation-Enhanced Auto-Associative Neural Network with Dynamic Processing of Missing Values.
Xiaochen LaiXia WuLiyong ZhangGenglin ZhangPublished in: ISNN (1) (2019)
Keyphrases
- missing values
- auto associative
- neural network
- missing data
- data imputation
- associative memory
- high dimensional data
- artificial neural networks
- missing data imputation
- incomplete data
- missing information
- imputation methods
- incomplete data sets
- feature values
- multiple imputation
- missing attribute values
- image data
- correlation coefficient
- data matrix
- support vector machine
- database
- bayesian networks
- training data