Linear discriminant analysis using genetic algorithms

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Linear discriminant analysis using genetic algorithms

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Symposium on Applied Computing archive
Proceedings of the 1993 ACM/SIGAPP symposium on Applied computing: states of the art and practice table of contents

Indianapolis, Indiana, United States

Pages: 152 - 156

Year of Publication: 1993

ISBN:0-89791-567-4

Author

Aaron H. Konstam

Trinity Univ., San Antonio, TX

Sponsor

SIGAPP: ACM Special Interest Group on Applied Computing

Publisher

ACM New York, NY, USA

Bibliometrics

Downloads (6 Weeks): 4, Downloads (12 Months): 16, Citation Count: 2

Additional Information:

references cited by index terms review collaborative colleagues

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REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Mike James, Classification algorithms, Wiley-Interscience, New York, NY, 1985
	2	G. J. Koehler, "Linear Discriminant Functions Determined by Genetic Search," ORSA Journal on Computing, vol. 3, pp. 345-357, (1991).
	3	J. Z. Tu and E. L. Hall, "Learning of the Optimal Discriminant Function through Genetic Learning Algorithm," Proceedings of SPIE - International Society for Optical Engineering, vol. 1607, pp. 614-625, 1992.
	4	John H. Holland, Adaptation in natural and artificial systems, MIT Press, Cambridge, MA, 1992
	5	D. E. Goldberg, Genetic Algorithms, Addison Wesley, Reading, Mass., 1989.
	6	L. Davis, Handbook of Genetic Algorithms, Van Nostrend Reinhold, New York, N.Y., 1991.
	7	N. N. Schraudolph, A User's Guide to GAucsd 1.4, Computer Sciences & Engineering Department, University of California, San Diego, San Diego, Calif., 1992. CSE Technical Report #CS 92-249
	8	J. J. Grefenstette, L. Davis, and D. Cerys, in GENESIS and OOGA: Two Genetic Algorithm Systems, TSP, Melrose Mass., 1991. (Describes the commercially available version of these software products)
	9	P. Wyard, "Context Free Grammar Induction Using Genetic Algorithms," in Proceedings of the Fourth international Conference on Genetic Algorithms, ed. L. M. Booker, pp. 514-518, Morgan Kaufmann.
	10	S. J. Press and S. Wilson, "Chosing between Logistic Regression and Discriminant Analysis," J. Amer. Statist. Assoc., vol. 73, pp. 699-705.
	11	S. J. Press, Applied Multivariate Analysis, pp. 369-387, Holt, Rinehart and Winston, New York, N.Y., 1972.
	12	R. A. Fisher, "The use of Multiple Measurements in Taxonometric Problems," Ann. Eugenics., vol. 7, pp. 179-186, 1936.
	13	D. S. Munt, Linear Discriminant Analysis (Master's Dissertation, Trinity University), 1974.
	14	M. Collett, "A Study of Twelfth and Thirteenth Dynasty Skulls from Kerma," Biometrika, vol. 25, pp. 254-284, 1933.
	15	M. M. Barnard, "The Secular Variations of Skull Characters in Four Series of Egyptian Skulls," Ann. Eugenics, vol. 6, pp. 352-353, 1935.

CITED BY 2

	Aaron H. Konstam, N-group classification using genetic algorithms, Proceedings of the 1994 ACM symposium on Applied computing, p.212-216, March 06-08, 1994, Phoenix, Arizona, United States
	Aaron Konstam, Group classification using a mix of genetic programming and genetic algorithms, Proceedings of the 1998 ACM symposium on Applied Computing, p.308-312, February 27-March 01, 1998, Atlanta, Georgia, United States

INDEX TERMS

Primary Classification:
I. Computing Methodologies
I.5 PATTERN RECOGNITION
I.5.2 Design Methodology
Subjects: Classifier design and evaluation

Additional Classification:
I. Computing Methodologies
I.5 PATTERN RECOGNITION
I.5.1 Models
Subjects: Statistical; Neural nets

General Terms:
Algorithms, Experimentation, Languages, Theory

REVIEW

"Pradip K. Srimani : Reviewer"

The purpose of this paper is to propose a method to do classification by linear discriminant analysis using genetic algorithms. The author has provided fairly detailed experimental results of the execution of the algorithm on real-world data. He more...

Collaborative Colleagues:

Aaron H. Konstam: colleagues

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