Lazhar Labiod

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We propose a new theoretical framework for data visualization. This framework is based on iterative procedure looking up an appropriate approximation of the data matrix A by using two stochastic similarity matrices from the set of rows and the set of columns. This process converges to a steady state where the approximated data  is composed of g similar(More)