Abstract
We investigate document clustering through adaptation of Zamir and Etzioni's method for Suffix Tree Clustering. We modified it with substantial improvements in effectiveness and efficiency compared to the original algorithm. © 2014 Springer International Publishing Switzerland.
Cite
CITATION STYLE
APA
Moe, R. E. (2014). Improvements to suffix tree clustering. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8416 LNCS, pp. 662–667). Springer Verlag. https://doi.org/10.1007/978-3-319-06028-6_73
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