An algorithm for model selection in discrimination with categorical variables is presented. It is based on four models applied hierarchically and linked with a build-up procedure of feature-eelection. The choice of models and features is ensured by a consequent croas-validation. Results of an appli
โฆ LIBER โฆ
On the Choice of Variables in Classification Problems with Dichotomous Variables
โ Scribed by Janet D. Elashoff, R. M. Elashoff and G. E. Goldman
- Book ID
- 124279951
- Publisher
- Oxford University Press
- Year
- 1967
- Tongue
- English
- Weight
- 360 KB
- Volume
- 54
- Category
- Article
- ISSN
- 0006-3444
- DOI
- 10.2307/2335061
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A robust method for selection of .variables with the greatest discriminatory power is presented in the paper. The method deals with the two groups of data problem. An application of the method to some respiratory disease data and comparisons with clsfssipl procedures sre given, also.