# A Cross Entropy Algorithm for Classification with $\delta$−Patterns

Abstract : 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.
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Cited literature [7 references]

https://hal.inria.fr/hal-01184688
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### Citation

Gabriela Alexe, Gyan Bhanot, Adriana Climescu-Haulica. A Cross Entropy Algorithm for Classification with $\delta$−Patterns. Fourth Colloquium on Mathematics and Computer Science Algorithms, Trees, Combinatorics and Probabilities, Sep 2006, Nancy, France. pp.399-402, ⟨10.46298/dmtcs.3485⟩. ⟨hal-01184688⟩

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