Node Connectivity
There are 5518 nodes that can be used as predessesor
for a node with an input port of type 
Generic Port.
MakeDensityBasedClusterer (3.6) (legacy)
Class for wrapping a Clusterer to make it return a distribution and density. Fits normal distributions and discrete distributions within each cluster […]
OPTICS (3.6) (legacy)
Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, Joerg Sander: OPTICS: Ordering Points To Identify the Clustering Structure. In: ACM SIGMOD […]
SimpleKMeans (3.6) (legacy)
Cluster data using the k means algorithm. Can use either the Euclidean distance (default) or the Manhattan distance. If the Manhattan distance is used, then […]
XMeans (3.6) (legacy)
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 […]
sIB (3.6) (legacy)
Cluster data using the sequential information bottleneck algorithm. Note: only hard clustering scheme is supported. sIB assign for each instance the […]
Weka Cluster Assigner (3.6) (legacy)
The Weka Cluster Assigner takes a cluster model generated in a weka node and assigns the data at the inport to the corresponding clusters.
Weka Predictor (3.6) (legacy)
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
Weka Predictor (3.6) (legacy)
The Weka Predictor takes a model generated in a weka node and classifies the test data at the inport.
Weka Classifier Reader (3.6) (legacy)
Reads a weka classification model from a (zip) file.
Weka Clustering Reader (3.6) (legacy)
Reads a weka clustering model from a (zip) file.