CMU Artificial Intelligence Repository
OC1: Oblique Classifier 1
areas/learning/systems/oc1/
OC1 (Oblique Classifier 1) is a multivariate decision tree induction
system designed for applications where the instances have numeric
feature values. OC1 builds decision trees that contain linear
combinations of one or more attributes at each internal node; these
trees then partition the space of examples with both oblique and
axis-parallel hyperplanes. OC1 has been used for classification of
data from several real world domains, such as astronomy and cancer
diagnosis. A technical description of the algorithm can be found in
the AAAI-93 paper by Sreerama K. Murthy, Simon Kasif, Steven Salzberg
and Richard Beigel. A postscript version of this paper is included in
the distribution.
This package is not being included on the CD-ROM at the request of
the authors because it is still very much in development.
Origin:
ftp.cs.jhu.edu:/pub/oc1/ [128.220.13.50]
Requires: OC1 is a written entirely in ANSI C.
Copying: This distribution is provided for non-commercial purposes only.
CD-ROM:
Author(s): Sreerama K. Murthy (primary contact)
Steven Salzberg
Simon Kasif
Department of Computer Science
The Johns Hopkins University
Baltimore, MD 21218.
Keywords:
Authors!Kasif, Authors!Murthy, Authors!Salzberg,
Decision Trees, Inductive Learning, Machine Learning, OC1
References: ?
Last Web update on Mon Feb 13 10:24:32 1995
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