logo hyperPipes

Class implementing a HyperPipe classifier. For each category a HyperPipe is constructed that contains all points of that category (essentially records the attribute bounds observed for each category). Test instances are classified according to the category that "most contains the instance". Does not handle numeric class, or missing values in test cases. Extremely simple algorithm, but has the advantage of being extremely fast, and works quite well when you have "smegloads" of attributes.

homepage: weka.sourceforge.net/doc.packages/hyperPipes
fresh index:
last release: 5 years ago, first release: 5 years ago
packaging: jar
get this artifact from: central
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