Bidirectional classification procedures: double tree and double cluster.
Partition based prediction rules as derived in CART, RECPAM or CBR, relating multivariate predictor variables X to a response variable Y, may be extended to bidirectional classification procedures. Tree or clustering algorithms are simultaneously applied to X and Y resulting in a double partition classification table that should be able to detect existing characteristic patterns of predictor and response values and relate them to each other.
Hecker
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Institut für Biometrie(8410), Medizinische Hochschule Hannover, 30623 Hannover, Germany.
D000465:Algorithms; D004194:Disease / Q000145:classification*; D006801:Humans; D008432:Mathematical Computing; D011379:Prognosis