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Communication Dans Un Congrès Année : 2014

Nearest cluster center decision in hierarchical classification process

Résumé

The hierarchical classification method based on SVM multi learning process has proved its abilities to classify large databases. However, some misclassification can be detected through the hierarchy levels. To minimize these errors and improving the rate of classification, we propose to use Nearest Cluster centers (NCC) in the hierarchy structure to correct the classification ambiguities. Obtained results on IRIS database prove the given improvement of global classification rate.
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Dates et versions

hal-01777619 , version 1 (24-04-2018)

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Khalifa Djemal, Hichem Maaref. Nearest cluster center decision in hierarchical classification process. 2014 Information and Communication Technologies Innovation and Application (ICTIA 2014), Mar 2014, Sousse, Tunisia. ⟨10.1109/ICTIA.2014.7883767⟩. ⟨hal-01777619⟩
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