| Autor: |
Gacki, Henryk, Kulawik, Agnieszka |
| Jazyk: |
angličtina |
| Rok vydání: |
2020 |
| Předmět: |
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| Popis: |
In the following paper a classification problem with two multivariate normally distributed classes is considered. The problem is solved in a case of an empirical real situation (a motors data) using the Karhunen-Loeve Transform and classifying functions based on estimators for unknown parameters of a multivariate normal distribution. We consider the maximum likelihood estimator and a robust one. The robust estimator bases on the Huber functions. The corresponding classifying functions (classifiers) are compared using the Leave-One-Out method. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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