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Título:
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Unsupervised document clustering by weighted combination
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Autor/a:
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González Pellicer, Edgar; Turmo Borras, Jorge
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Otros autores:
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Universitat Politècnica de Catalunya. Departament de Llenguatges i Sistemes Informàtics; Universitat Politècnica de Catalunya. GPLN - Grup de Processament del Llenguatge Natural |
Abstract:
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This report proposes a novel unsupervised document clustering approach based on weighted combination of individual clusterings. Two non-weighted combination methods are adapted to work in a weighted fashion: a graph based method and a probability based one. The performance of the weighted approach is evaluated on real-world collections, and compared to that of individual clustering and non-weighted combination. The results of this evaluation confirm that graph based weighted combination consistently outperforms the other approaches. |
Materia(s):
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-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial -Document clustering -Weighted combination |
Derechos:
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Tipo de documento:
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Artículo - Versión publicada Informe |
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