Results in statistical discriminant analysis: a review of the former Soviet Union literature
| Autor: | Dean M. Young, Šarūnas Raudys |
|---|---|
| Rok vydání: | 2004 |
| Předmět: |
Nonparametric error rate estimation
Statistics and Probability Numerical Analysis Multivariate analysis Asymptotic error-rate approximations Nonparametric statistical classifiers Statistical pattern Regularized discriminant analysis Feature subset selection Linear discriminant analysis Plug-in statistical classifiers Econometrics Statistics Probability and Uncertainty Soviet union Mathematics |
| Zdroj: | Journal of Multivariate Analysis. 89:1-35 |
| ISSN: | 0047-259X |
| DOI: | 10.1016/s0047-259x(02)00021-0 |
| Popis: | Much work in discriminant analysis and statistical pattern recognition has been performed in the former Soviet Union. However, most results derived by former Soviet Union researchers are unknown to statisticians and statistical pattern recognition researchers in the West. We attempt to give a succinct overview of important contributions by Soviet Block researchers to several topics in the discriminant analysis literature concerning the small training-sample size problem. We also include a partial review of corresponding work done in the West. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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