There are 5562 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Martin Ester, Hans-Peter Kriegel, Joerg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise.
Class for wrapping a Clusterer to make it return a distribution and density.
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.