Imputation of missing values for semi-supervised data using the proximity in random forests.
Tsunenori IshiokaPublished in: Int. J. Bus. Intell. Data Min. (2013)
Keyphrases
- missing values
- missing data
- incomplete data
- random forests
- missing information
- multiple imputation
- database
- data imputation
- high dimensional data
- data analysis
- labeled data
- missing data imputation
- pattern recognition
- training data
- neural network
- data sets
- semi supervised
- semi supervised learning
- pairwise
- low rank
- similarity measure
- feature selection
- statistical databases
- learning algorithm
- machine learning