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Style classification of document page images is crucial for logical structure analysis of heterogeneous collections of documents. Both layout and contextual features contain significant information about document styles. Most existing methods are supervised methods in which specific document models or classifiers are learned from a training set of document page images with known class labels. In this paper, we propose an unsupervised classification method that involves no training or manualdoi:10.1109/icip.2005.1530104 dblp:conf/icip/MaoNT05 fatcat:dmhiqnadizgini2dwrrecg5v2q