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Classification non supervisée des données de hautes dimensions et extraction des connaissances dans les services WEB de question-réponse

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Figure

figure 1 - Un ensemble de donnees qui contient deux projected clusters.
Fig. 1. Example of dataset containing projected clusters.
Fig. 3. PDFs of the sparseness degrees of: (a) dimension A\, (b) dimension A2, (c) dimension A3 and (d) dimension AA- AA-The sparseness degrees of A\ and A2 are well fitted by two gamma components, where the first component represents a dense  regions whil
Fig. 4. Partitioning of the set LOC into two sets E and F.
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