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.
Keywords
[INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS]
