Mostafa EL HABIB DAHO

Biomedical Engineering Laboratory Tlemcen University, Algeria

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Abstract

Semi-Supervised Clustering (SSC) is a largely unsu- pervised learning task that seeks to guide the clustering process through constraint, and combines several methods with different approaches. In this work, our interest is more focused on the semi-supervised clustering with constraint approaches, and more particularly those based on the pairwise constraint. This paper establishes a comparative study between 3 algorithms mainly:..

 

 Télécharger l'article : A comparative study of semi-supervised clustering methods with pairwise constraint