Class for wrapping a Clusterer to make it return a distribution and density.
For further options, click the 'More' - button in the dialog.
All weka dialogs have a panel where you can specify classifier-specific parameters.
The Preliminary Attribute Check tests the underlying clusterer against the DataTable specification at the inport of the node. Columns that are compatible with the classifier are marked with a green 'ok'. Columns which are potentially not compatible are assigned a red error message.
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To use this node in KNIME, install the extension KNIME Weka Data Mining Integration 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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