Orateur
Prof.
Mohamed Nadif
(LIPADE / University of Paris Descartes)
Description
In recent years, document clustering or text clustering techniques have been receiving more and more attentions as a fundamental and efficient tool for organization and summarization of huge volumes of text documents. In this talk, I provide a detailed survey of the problem of document clustering. I discuss a number of recent advances in this area and in the clustering and co-clustering contexts. I review different approaches: spectral, nonnegative matrix factorization, mixture model and latent block model.
Auteur principal
Prof.
Mohamed Nadif
(LIPADE / University of Paris Descartes)
