I am new to Knime world and I need some help :)
I am trying to use Knime nodes for clustering. My data table has both numeric attributes and nominal attributes. As I understand clustering nodes only consider numeric attributes when computing the distance between examples.
Is there a way to use heterogeneous metrics for clustering?
(e.g. distance for a categorical attribute: 0 if the considered examples have the same attribute value, 1 if the considered examples have different values)
Thanks for your time!