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
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