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Subspace Clustering Extension for KNIME Workbench version 1.0.2

cf. G. Moise and J. Sander. Finding non-redundant, statistically significant regions in high dimensional data: a novel approach to projected and subspace clustering.

Input Ports

The database the algorithm should work on.

Output Ports

A table containing all subspace clusters and how each dimension is relevant to them.
A table containing an entry for each object-to-cluster relation, so an object that belongs to many clusters will occur multiple times.

Update Site

To use this node in KNIME, install Subspace Clustering Extension for KNIME Workbench from the following update site:

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