TY - GEN
T1 - Information retrieval with principal components
AU - Hoang, Albert
PY - 2004
Y1 - 2004
N2 - 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.
AB - 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.
UR - https://www.scopus.com/pages/publications/3042688016
U2 - 10.1109/ITCC.2004.1286463
DO - 10.1109/ITCC.2004.1286463
M3 - Conference contribution
AN - SCOPUS:3042688016
SN - 0769521088
SN - 9780769521084
T3 - International Conference on Information Technology: Coding Computing, ITCC
SP - 262
EP - 266
BT - International Conferen ON Information Technology
A2 - Srimani, P.K.
A2 - Abraham, A.
A2 - Cannataro, M.
A2 - Domingo-Ferrer, J.
A2 - Hashemi, R.
T2 - International Conference on Information Technology: Coding Computing, ITCC 2004
Y2 - 5 April 2004 through 7 April 2004
ER -