PublisherGeneralitat de Catalunya. Departament de Cultura i Mitjans de Comunicació
Rights accessRestricted access - publisher's policy
This is a report on an implementation of a spectral clustering algorithm for classifying very large internet sites, with special emphasis on the practical problems
encountered in developing such a data mining system. Remarkably some of these
technical difficulties are due to fundamental issues pertaining to the mathematics involved, and are not treated properly in the literature. Others are inherent to the functions and numerical methods proper to the high level technical computing programming environment that we use. We will point out what these practical challenges are and how to solve them.
CitationArratia, A.; Marijuan, C. Practical challenges that arise when clustering the web using spectral methods. A: Jornadas de Matemática Discreta y Algorítmica. "VII Jornadas de Matemática Discreta y Algorítmica". Castro Urdiales: Generalitat de Catalunya. Departament de Cultura i Mitjans de Comunicació, 2010, p. 89-100.
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