title: Bidirectional classification procedures: double tree and double cluster.
abstract: 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.
authors.affiliation: Institut für Biometrie(8410), Medizinische Hochschule Hannover, 30623 Hannover, Germany.
authors.forename: H
authors.initials: H
authors.lastname: Hecker
mesh_terms: D000465:Algorithms; D004194:Disease / Q000145:classification*; D006801:Humans; D008432:Mathematical Computing; D011379:Prognosis