• DocumentCode
    408294
  • Title

    Information retrieval with principal components

  • Author

    Hoang, Albert

  • Author_Institution
    George Washington Univ., Washington, DC, USA
  • Volume
    1
  • fYear
    2004
  • fDate
    5-7 April 2004
  • Firstpage
    262
  • Abstract
    Latent semantic indexing is a linear data reduction technique used in informational retrieval applications. The method of principal components is a popular linear data reduction technique that has been used in many applications. In this paper how the principal components method is used in information retrieval is presented, and how the latent semantic indexing is related to the principal component method is shown. Two experiments of monolingual and multilingual searches are described to show the feasibility of the method of principal components in information retrieval.
  • Keywords
    data reduction; indexing; information retrieval; principal component analysis; information retrieval; latent semantic indexing; linear data reduction; monolingual searches; multilingual searches; principal components; Data mining; Feature extraction; Indexing; Information retrieval; Information technology; Matrix decomposition; Search methods; Singular value decomposition; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Technology: Coding and Computing, 2004. Proceedings. ITCC 2004. International Conference on
  • Print_ISBN
    0-7695-2108-8
  • Type

    conf

  • DOI
    10.1109/ITCC.2004.1286463
  • Filename
    1286463