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
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Updated
Mar 24, 2023 - HTML