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Orcid Publication

Detalle de: Clustering of biomedical scientific papers

Title Clustering of biomedical scientific papers
Abstract

In this paper we present a methodology for document clustering based on non-negative matrix factorization (NMF) and ensemble clustering. Thanks to the ensemble clustering the algorithm is less prone to get into a local minimum caused by the initialization of the NMF. Despite the ensemble clustering, the algorithm keeps the semantic interpretability of the NMF and constructs a coocurrence matrix that allows the projection of the documents onto a two-dimensional space suitable for visualization. The algorithm is freely available for the information retrieval community from the bioengineering laboratory Web page.

Apa Reference Bravo-Alcobendas, D. & Sorzano, C. (2009). Clustering of biomedical scientific papers. 2009 IEEE International Symposium on Intelligent Signal Processing, 205-209. 10.1109/WISP.2009.5286530
Doi 10.1109/WISP.2009.5286530
Publication Date Aug 2009
Publication Type Conference paper
Researcher Carlos Oscar Sorzano
Ontology Clustering
Research Groups
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