There are 2742 nodes that can be used as successor
for a node with an output port of type Table.
Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes.
Class for generating a PART decision list.
Class for building and using a PRISM rule set for classification.
The implementation of a RIpple-DOwn Rule learner.
Class for building and using a 0-R classifier.
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.
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