There are 2742 nodes that can be used as successor
for a node with an output port of type Table.
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.
Class implementing an Apriori-type algorithm.
Class for running an arbitrary associator on data that has been passed through an arbitrary filter.
Class implementing a GSP algorithm for discovering sequential patterns in a sequential data set.
Class implementing the predictive apriori algorithm to mine association rules.
Finds rules according to confirmation measure (Tertius-type 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.
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