KNIME Distance Matrix Extension version 4.2.0.v202007082019 by KNIME AG, Zurich, Switzerland
Distance definition on numerical column(s), like for instance Euclidean or Manhattan distance. Parameters for missing value handling and normalization can be set depending on the selected distance function.
Standard Distance (Euclidean/ Manhattan)
The Minkowski or Lp-Norm distance generalizes the Euclidean or Manhattan distance
Cosine similarity is a measure of similarity between two vectors of an inner product space that measures the cosine of the angle between them. This distance function is 1 - cosine-similarity and can take range [0,2].
To use this node in KNIME, install KNIME Distance Matrix from the following update site:
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