| Autor: |
López-Lobato Adriana Laura, Avendaño-Garrido Martha Lorena |
| Jazyk: |
angličtina |
| Rok vydání: |
2021 |
| Předmět: |
|
| Zdroj: |
International Journal of Applied Mathematics and Computer Science, Vol 31, Iss 3, Pp 487-500 (2021) |
| Druh dokumentu: |
article |
| ISSN: |
2083-8492 |
| DOI: |
10.34768/amcs-2021-0033 |
| Popis: |
A linear combination of Gaussian components is known as a Gaussian mixture model. It is widely used in data mining and pattern recognition. In this paper, we propose a method to estimate the parameters of the density function given by a Gaussian mixture model. Our proposal is based on the Gini index, a methodology to measure the inequality degree between two probability distributions, and consists in minimizing the Gini index between an empirical distribution for the data and a Gaussian mixture model. We will show several simulated examples and real data examples, observing some of the properties of the proposed method. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
|
