Multivariate Outlier Detection & Distance-based Missing Value Imputation

In KNIME, the nodes for outlier detection and missing value imputation are the Numeric Outliers node and the Missing Value node, but these nodes cannot handle multivariate outlier detection and distance-based missing value imputation.

If there is a way to perform multivariate outlier detection and distance-based missing value imputation in KNIME, I would appreciate any ideas you can share.

1. Multivariate Outlier Detection

• Outlier detection using Euclidean Distance

• Outlier detection using Mahalanobis Distance

1. Distance-based Missing Value Imputation

• KNN Imputer with distance-based mean imputation

• Imputation using weighted mean

Thank you!