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EFFECT OF NORMALIZATION OF EIGENVECTORS ON THE PAST AND RP ALGORITHMS FOR PCA
Ansvarlig organisasjon
2005 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert) Published
Abstract [en]

This paper investigates the effect of incorporating normali-zation of the eigenvectors between iterations in the PAST and RP algorithms for principal component analysis (PCA). In addition, an algorithm denoted as exact eigendecomposi-tion (EE) is proposed for PCA. The algorithms are compared for different configurations using Monte Carlo simulations. Simulation results show that EE has the best performance and that normalization may be used for improving PAST and RP.

sted, utgiver, år, opplag, sider
Antalya, 2005.
HSV kategori
Identifikatorer
URN: urn:nbn:se:bth-9925Lokal ID: oai:bth.se:forskinfo6C09B4BD87E3F154C1257016003E8D38OAI: oai:DiVA.org:bth-9925DiVA, id: diva2:837915
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EUSIPCO
Tilgjengelig fra: 2012-09-18 Laget: 2005-06-04 Sist oppdatert: 2015-06-30bibliografisk kontrollert

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Totalt: 90 treff
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