Metric learning for semi-supervised clustering using pairwise constraints and the geometrical structure of data

Mahdieh Soleymani Baghshah, Saeed Bagheri Shouraki · Intelligent Data Analysis · 2009

Metric learning is a powerful approach for semi-supervised clustering. In this paper, a metric learning method considering both pairwise constraints and the geometrical structure of data is introduced for semi-supervised clustering. At first, a smoot

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