There are 5640 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Simple EM (expectation maximisation) class.
Cluster data using the FarthestFirst algorithm.
Class for running an arbitrary clusterer on data that has been passed through an arbitrary filter.
Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure.
Cluster data using the k means algorithm.
Cluster data using the X-means algorithm.
The Weka Cluster Assigner takes a cluster model generated in a weka node and assigns the data at the inport to the corresponding clusters.
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
A wrapper around a serialized classifier model.
Reads a weka classification model from a (zip) file.
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Please note that this is only about NodePit. We do not provide general support for KNIME — please use the KNIME forums instead.