Browsing by Subject "Based clustering"

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    Broadband multilevel fast multipole algorithm for large-scale problems with nonuniform discretizations
    (IEEE, 2016) Ergül, Ö.; Karaosmanoğlu, B.; Takrimi, Manouchehr; Ertürk, Vakur B.
    We present a broadband implementation of the multilevel fast multipole algorithm (MLFMA) for fast and accurate solutions of multiscale problems involving highly nonuniform discretizations. Incomplete tree structures, which are based on population-based clustering with flexible leaf-level boxes at different levels, are used to handle extremely varying triangulation sizes on the same structures. Superior efficiency and accuracy of the developed implementation, in comparison to the standard and broadband MLFMA solvers employing conventional tree structures, are demonstrated on practical problems.
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    Exploiting index pruning methods for clustering XML collections
    (Springer, Berlin, Heidelberg, 2010) Altıngövde, İsmail Şengör; Atılgan, Duygu; Ulusoy, Özgür
    In this paper, we first employ the well known Cover-Coefficient Based Clustering Methodology (C3M) for clustering XML documents. Next, we apply index pruning techniques from the literature to reduce the size of the document vectors. Our experiments show that for certain cases, it is possible to prune up to 70% of the collection (or, more specifically, underlying document vectors) and still generate a clustering structure that yields the same quality with that of the original collection, in terms of a set of evaluation metrics. © 2010 Springer-Verlag Berlin Heidelberg.