A Cross Entropy Algorithm
Gabriela Alexe, Gyan Bhanot, Adriana Climescu-Haulica
Abstract
A classification strategy based on δ-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.
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