Hierarchical semi-supervised confidence-based active clustering and its application to the extraction of topic hierarchies from document collections
Topic hierarchies are efficient ways of organizing document collections. These structures help users to manage the knowledge contained in textual data. These hierarchies are usually obtained through unsupervised hierarchical clustering algorithms. By not considering the context of the user in th...
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| Language: | English |
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Universidade de São Paulo
2013
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| Online Access: | http://www.teses.usp.br/teses/disponiveis/55/55134/tde-06052014-103312/ |