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              <p>With the data explosion more and more data are collected from multiple sourcesrepresented by multiple views, where each describes a perspective of the data.To deal with this kind of data in the context of unsupervised learning, one canrely on factorial approaches and clustering. Depending on the objective, thesetwo types of methods can be used separately, successively in a two step approachor simultaneously leading to subspace clustering. In this presentation, we willreview, discuss and illustrate different unsupervised approaches from the mostclassical to the most recent.</p>
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