Choukri Djellali

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In recent years, clustering has become a critical success factor for data analysis. Most clustering methods are sensitive to outliers, noise, presentation order, configuration architecture, Bellman's curse of dimensionality and complex shapes. They use the cost functions to reflect the general knowledge about internal structures and distributions of target(More)
Numerical schemes research on clustering model has been quite intensive in the past decade. The difficulties associated with curse of dimensionality and cost functions to reflect the general knowledge about internal structures and distributions of target data. Traditional computational clustering and variables selection schemes are struggling to estimate at(More)
The performance of clustering is a crucial challenge, especially for pattern recognition. The models aggregation has a positive impact on the efficiency of Data clustering. This technique is used to obtain more cluttered decision boundaries by aggregating the resulting clustering models. In this paper, we study an aggregation scheme to improve the(More)
The integration of knowledge can be considered as a guideline for managing problems that occur in the task of knowledge management, and more particularly, in the collaborative decision-making. Integration is necessary because it allows communication between different sources. Most of the proposed approaches provide limited support for all activities of the(More)
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