Abstract
In this paper we propose the extended star clustering algorithm and compare it with the original star clustering algorithm. We introduce a new concept of star and as a consequence, we obtain different star-shaped clusters. The evaluation experiments on TREC data, show that the proposed algorithm outperforms the original algorithm. Our algorithm is independent of the data order and obtains a smaller number of clusters. © Springer-Verlag Berlin Heidelberg 2003.
Cite
CITATION STYLE
Gil-García, R. J., Badía-Contelles, J. M., & Pons-Porrata, A. (2003). Extended star clustering algorithm. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 2905, 480–487. https://doi.org/10.1007/978-3-540-24586-5_59
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