A Classifier Design Technique for Discrete Variable Pattern Recognition Problems
- 1 April 1974
- journal article
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Computers
- Vol. C-23 (4) , 428-441
- https://doi.org/10.1109/t-c.1974.223958
Abstract
This paper presents a new computerized technique to aid the designers of pattern classifiers when the measurement variables are discrete and the values form a simple nominal scale (no inherent metric). A theory of "prime events" which applies to patterns with measurements of this type is presented. A procedure for applying the theory of "prime events" and an analysis of the "prime event estimates" is given. To manifest additional characteristics of this technique, an example optical character recognition (OCR) application is discussed.Keywords
This publication has 23 references indexed in Scilit:
- Interactive Pattern Analysis and ClassificationIEEE Transactions on Computers, 1970
- Application of the Karhunen-Loève Expansion to Feature Selection and OrderingIEEE Transactions on Computers, 1970
- Recognition of Printed Chinese CharactersIEEE Transactions on Electronic Computers, 1966
- An Algorithm for Linear Inequalities and its ApplicationsIEEE Transactions on Electronic Computers, 1965
- Geometrical and Statistical Properties of Systems of Linear Inequalities with Applications in Pattern RecognitionIEEE Transactions on Electronic Computers, 1965
- Maximum Entropy for Hypothesis Formulation, Especially for Multidimensional Contingency TablesThe Annals of Mathematical Statistics, 1963
- Some Classification Problems with Multivariate Qualitative DataBiometrics, 1961
- Techniques for discriminant analysis with discrete variablesMetrika, 1959
- Efficient Estimation and Local Identification in Latent Class AnalysisPsychometrika, 1956
- On Estimation of Parameters in Latent Structure AnalysisPsychometrika, 1954