There are 3976 nodes that can be used as predessesor
for a node with an input port of type Table.
Computes correlation coefficients for pairs of numeric or nominal columns.
Detects and handles outliers for all numerical columns.
Handles outliers for all numerical columns according to the provided model.
Computes correlation coefficients for pairs of columns, based on the sorting of its values only.
The Mahalanobis Distance is a metric, which measures the distance of two data sets with respect to the variance and covariance of the selected variables.
Normalizes a distance matrix
Reads triangular or full distance matrix.
Calculates distance matrix on input table and appends result as (typed) column.
Extracts all pairs from the distance matrix that apply to the selected comparator and threshold.
Converts a linear correlation model into a distance matrix