Dynamic statistical classification
محفوظ في:
| المؤلفون: | , |
|---|---|
| التنسيق: | artículo original |
| الحالة: | Versión publicada |
| تاريخ النشر: | 2017 |
| الوصف: | We consider the statistical supervised classification problem from adynamical systems approach. We assume that two classes exist and that, for each one, a multivariate normal distribution determines the probability to be in a certain region in the n dimensional real vector space. These density functions are the potentials of corresponding gradient vector fields for each class; we construct a “classifying vector field” as a suitable weighted mean ofthem. From data known in the literature, we estimate the population parameters, and the classes are successfully distinguished; we compute and present confusion matrices. A one and two-dimensional analysis is given. |
| البلد: | Portal de Revistas UCR |
| المؤسسة: | Universidad de Costa Rica |
| Repositorio: | Portal de Revistas UCR |
| اللغة: | Inglés |
| OAI Identifier: | oai:archivo.portal.ucr.ac.cr:article/27774 |
| الوصول للمادة أونلاين: | https://archivo.revistas.ucr.ac.cr/index.php/matematica/article/view/27774 |
| كلمة مفتاحية: | supervised statistical classification multivariate normal distribution vector fields attractors bifurcation dynamical systems Clasificación estadística supervisada distribución normal multivariada campos vectoriales atractores bifurcación sistemas dinámicos |