There are 5547 nodes that can be used as predessesor
for a node with an input port of type Generic Port.
Class for wrapping a Clusterer to make it return a distribution and density
Basic implementation of OPTICS clustering algorithm that should *not* be used as a reference for runtime benchmarks: more sophisticated implementations […]
A Clusterer that implements Kohonen's Self Organizing Map algorithm for unsupervised clustering
Cluster data using the k means algorithm
Cluster data using the X-means algorithm. X-Means is K-Means extended by an Improve-Structure part In this part of the algorithm the centers are attempted […]
Cluster data using the sequential information bottleneck algorithm. Note: only hard clustering scheme is supported
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.
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
Reads a weka classification model from a (zip) file.