A Novel Method to Control the Diversity in Cluster Ensembles
Clustering is fundamental to understand the structure of data. In the past decade the cluster ensemble problem has been introduced, which combines a set of partitions (an ensemble) of the data to obtain a single consensus solution that outperforms all the ensemble members. Although disagreement amon...
Guardado en:
| Autores principales: | Pividori, Milton, Stegmayer, Georgina, Milone, Diego H. |
|---|---|
| Formato: | Objeto de conferencia |
| Lenguaje: | Inglés |
| Publicado: |
2013
|
| Materias: | |
| Acceso en línea: | http://sedici.unlp.edu.ar/handle/10915/76220 http://42jaiio.sadio.org.ar/proceedings/simposios/Trabajos/ASAI/11.pdf |
| Aporte de: |
Ejemplares similares
-
How sensitive are probabilistic precipitation forecasts to the choice of calibration algorithms and the ensemble generation method? Part I: Sensitivity to calibration methods
por: Ruiz, J.J., et al. -
How sensitive are probabilistic precipitation forecasts to the choice of calibration algorithms and the ensemble generation method? Part I: Sensitivity to calibration methods
Publicado: (2012) -
Cluster Ensembles for Big Data Mining Problems
por: Pividori, Milton, et al.
Publicado: (2015) -
Ensemble theatre making : a practical guide /
por: Bonczek, Rose Burnett, 1958-
Publicado: (2013) -
Predictability of a supercell using convection-permitting ensemble simulations in Argentina
por: Álvarez Imaz, Milagros, et al.
Publicado: (2023)