Table — NodePit

There are 2743 nodes that can be used as successor for a node with an output port of type

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.

Node Connectivity