There are 4972 nodes that can be used as predessesor for a node with an input port of type Generic Port.
Implements the LAC (Lazy Associative Classifier) algorithm, which uses associative rules to execute classifications
Generates a decision list for regression problems using separate-and-conquer
Nearest-neighbor-like algorithm using non-nested generalized exemplars (which are hyperrectangles that can be viewed as if-then rules)
This class is an implementation of the Ordinal Learning Method (OLM). Further information regarding the algorithm and variants can be found in: Arie […]
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
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) […]
Class for building and using a 0-R classifier
Yiling Yang, Xudong Guan, Jinyuan You: CLOPE: a fast and effective clustering algorithm for transactional data
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