Document Classification after Dimension Reduction through a Modified Gram-Schmidt Process

This paper proposes a modified Gram-Schmidt algorithm for dimension reduction of a document vector space in order to do classification. We also evaluate the performance of the proposed algorithm by comparing with commonly known algorithms such as the centroid-based algorithm and latent semantic inde...

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Bibliographic Details
Published inWireless Networks and Computational Intelligence pp. 236 - 243
Main Authors Guha, Sumanta, Lamichhane, Ananta Raj
Format Book Chapter
LanguageEnglish
Published Berlin, Heidelberg Springer Berlin Heidelberg
SeriesCommunications in Computer and Information Science
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