Hierarchically clusters the input data using a distance matrix.
Note: This node works only on small data sets, because it has cubic complexity.
There are two methods to do hierarchical clustering:
In order to determine the distance between clusters a measure has to be defined. Basically, there exist three methods to compare two clusters:
The distance information used by this node is either read from a distance vector column that must be available in the input data or is computed directly with usage of a connected distance measure. You can always calculate the distance matrix using the corresponding calculate node.
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To use this node in KNIME, install the extension KNIME Distance Matrix from the below update site following our NodePit Product and Node Installation Guide:
A zipped version of the software site can be downloaded here.
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