Node Connectivity
There are 5700 nodes that can be used as predessesor
for a node with an input port of type 
Generic Port.
OneR (3.7)
Class for building and using a 1R classifier; in other words, uses the minimum-error attribute for prediction, discretizing numeric attributes
PART (3.7)
Class for generating a PART decision list
Prism (3.7)
Class for building and using a PRISM rule set for classification
Ridor (3.7)
An implementation of a RIpple-DOwn Rule learner. It generates a default rule first and then the exceptions for the default rule with the least (weighted) […]
ZeroR (3.7)
Class for building and using a 0-R classifier
CLOPE (3.7)
Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data
CascadeSimpleKMeans (3.7)
Cascade simple k means, selects the best k according to calinski-harabasz criterion
Cobweb (3.7)
Class implementing the Cobweb and Classit clustering algorithms. Note: the application of node operators (merging, splitting etc.) in terms of ordering and […]
DBSCAN (3.7)
Basic implementation of DBSCAN clustering algorithm that should *not* be used as a reference for runtime benchmarks: more sophisticated implementations […]
EM (3.7)
Simple EM (expectation maximisation) class. EM assigns a probability distribution to each instance which indicates the probability of it belonging to each […]