Tsallis generalized entropy for Gaussian mixture model parameter estimation on brain segmentation application
Among statistical models, Gaussian Mixture Models (GMMs) have been used in numerous applications to model the data in which a mixture of Gaussian curves fits them. Several methods have been introduced to estimate the optimum parameters to a GMM fitted to the data. The accuracy of such estimation met...
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| Autores principales: | , |
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| Formato: | article |
| Lenguaje: | EN |
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Elsevier
2021
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| Materias: | |
| Acceso en línea: | https://doaj.org/article/30216875707c468684c84f1087a1c533 |
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