EFFECT OF NORMALIZATION OF EIGENVECTORS ON THE PAST AND RP ALGORITHMS FOR PCA
| Document type: | Conference Papers |
|---|---|
| Peer reviewed: | Yes |
| Author(s): | Ronnie Landqvist, Abbas Mohammed |
| Title: | EFFECT OF NORMALIZATION OF EIGENVECTORS ON THE PAST AND RP ALGORITHMS FOR PCA |
| Conference name: | EUSIPCO |
| Year: | 2005 |
| City: | Antalya |
| Organization: | Blekinge Institute of Technology |
| Department: | School of Engineering - Dept. of Signal Processing (Sektionen för teknik – avd. för signalbehandling) School of Engineering S- 372 25 Ronneby +46 455 38 50 00 http://www.tek.bth.se/ |
| Authors e-mail: | ronnie.landqvist@bth.se, abbas.mohammed@bth.se |
| Language: | English |
| Abstract: | 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. |
| Subject: | Signal Processing\General Telecommunications\General |
