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We develop a new algorithm for clustering search results. Differently from many other clustering systems that have been recently proposed as a post-processing step for Web search engines, our system is not based on phrase analysis inside snippets, but instead uses Latent Semantic Indexing on the whole document content. A main contribution of the paper is a novel strategy -called Dynamic SVD Clustering -to discover the optimal number of singular values to be used for clustering purposes.doi:10.1016/j.datak.2006.10.006 fatcat:fqullx3x7jgmpny3c4hap5kg6y