Fast Computation of the EM Algorithm for Mixture Models
Mixture models become increasingly popular due to their modeling flexibility and are applied to the clustering and classification of heterogeneous data. The EM algorithm is largely used for the maximum likelihood estimation of mixture models because the algorithm is stable in convergence and simple...
Guardado en:
| Autor principal: | |
|---|---|
| Formato: | Capítulo de libro |
| Lenguaje: | inglés |
| Publicado: |
IntechOpen
2021
|
| Materias: | |
| Acceso en línea: | https://www.intechopen.com/chapters/79594 |
| Etiquetas: |
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares: Fast Computation of the EM Algorithm for Mixture Models
- Acceleration of Convergence of the Alternating Least Squares Algorithm for Nonlinear Principal Components Analysis
- Variable Selection in Nonlinear Principal Component Analysis
- EM-Based Mixture Models Applied to Video Event Detection
- An Application of GSPN for Modeling and Evaluating Local Area Computer Networks
- Robust Underdetermined Algorithm Using Heuristic-Based Gaussian Mixture Model for Blind Source Separation
- Fast-Steered Minimum Variance Beamforming Algorithm