Evaluation of hierarchical clustering algorithms for document datasets
Proceedings of the eleventh international conference on Information and knowledge management
Feature selection strategies for automated classification of digital media content
Journal of Information Science
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We have carried out experiments in clustering a news corpus. In these experiments we have used two partitional methods varying two different parameters of the clustering tool. In addition, we have worked with the whole document (news) and with representative parts of the document. We have obtained good results working with a representative part of the document. The experiments have been carried out with news in Spanish and Basque in order to compare the results in both languages.