A novel clustering-based purity and distance imputation for handling medical data with missing values.
Ching-Hsue ChengShu-Fen HuangPublished in: Soft Comput. (2021)
Keyphrases
- missing values
- medical data
- missing data
- medical images
- data imputation
- clinical data
- medical data mining
- incomplete data
- medical information
- missing data imputation
- high dimensional data
- euclidean distance
- incomplete data sets
- missing information
- medical records
- imputation methods
- data mining
- multiple imputation
- data sets
- missing attribute values
- real world
- data points