FIMUS imputes numerical and categorical missing values by using a data set’s existing patterns including co-appearances of attribute values, correlations among the attributes and similarity of values belonging to an attribute.
data-science data-mining correlation missing-data similarity-measures preprocessing data-cleaning data-quality data-cleansing missing-values missing-value-handling missing-data-imputation missing-value-imputation co-appearance
-
Updated
Mar 24, 2023 - HTML