Abdelouahab Mekaouche

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We highlight a partition clustering method, which proposes an experimental solution to the famous problem of automatic discovery of the number of clusters (k). The majority of partition clustering methods consider the manual valuation of k. Manual valuation of k may be interesting for specific domains of applications where the expert has an accurate idea of(More)
In this paper, we present an unsupervised grouping approach of data items (images) in the context of content-based exploration of large image databases. More particularly, we highlight a partition clustering method, which proposes an experimental solution to the famous problem of automatic discovery of the number of clusters (k). The majority of partition(More)
In this paper; we present our work on DIALECT 2. It is an information retrieval system using DAI tools which is made up by two modules based on the blackboard model: a linguistic parser and a reformulation module. The Einguistic parser extracts the syntactic structure from a request and builds a network of templates which contains the main information(More)
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