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Histogram-Based Dimensionality Reduction of Term Vector Space
Elk, Poland June 28-June 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CISIM.2007.352007 6th International Conference on ...
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Krzysztof Ciesielski, Polish Academy of Sciences, Poland
Mieczyslaw A. Klopotek, Polish Academy of Sciences, Poland
Slawomir T. Wierzchon, Polish Academy of Sciences, Poland
One of the most vital problems of free-text document processing is the curse of dimensionality. The paper presents a dimensionality reduction algorithm based on informed feature selection. Terms describing the document are based on histogram-like statistics which can be computed as well as incrementally updated at low complexity. The document representation can adapt to changing document collection characteristics. Along with the fundamental concepts we present an empirical verification of the approach.
Citation:
Krzysztof Ciesielski, Mieczyslaw A. Klopotek, Slawomir T. Wierzchon, "Histogram-Based Dimensionality Reduction of Term Vector Space," cisim, pp.103-108, 2007 6th International Conference on Computer Information Systems and Industrial Management Applications, 2007
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