A Cross Entropy Algorithm for Classification with $\delta$−Patterns
Résumé
A classification strategy based on $\delta$-patterns is developed via a combinatorial optimization problem related with the maximal clique generation problem on a graph. The proposed solution uses the cross entropy method and has the advantage to be particularly suitable for large datasets. This study is tailored for the particularities of the genomic data.
| Origine | Fichiers éditeurs autorisés sur une archive ouverte |
|---|
Loading...