Calculates distance values for all pairs of rows of the input table. The result is appended to the input table as a single column…

This node takes each row in the query table (Port 0) and searches the reference table (Port 1) for a number of rows matching the …

Enables the aggregation of arbitrary distance measures using a Java snippet. The port number is used to refer to a value of a giv…

Distance measures on bit vectors (fingerprints).

Comprises Byte Vector related distance measures.

This node normalizes a distance matrix so that the maximum distance is 1. The minimum distance is not set to 0, so the normalizat…

Extracts all pairs from the distance matrix that apply to the selected comparator and threshold.

Read a distance matrix from a given URL. The file (or URL) is plain ASCII file (possibly gzip'ed) of distance or similarity value…

Writes the content of a distance matrix column to an output file or a remote location denoted by a URL. The output file will cont…

Enables the definition of arbitrary distance measures using a Java snippet. A distance measure is defined on two equal structured…

Converts a linear correlation model into a distance matrix. The correlation coefficients are normalized to [0, 1] and are then us…

The Mahalanobis Distance is a metric, which measures the distance of two data sets with respect to the variance and covariance of…

The Matrix Distance is just a wrapper around a distance matrix column. This reduces the evaluation of a distance measure between …

Distance definition on numerical column(s), like for instance Euclidean or Manhattan distance. Parameters for missing value handl…

Distance definition on a string column, like for instance Levenshtein distance. Additional parameters can be set based on the sel…