caa a22 4500 475801121 CHVBK 20180406123737.0 cr unu---uuuuu 170329e20000401xx s 000 0 eng 10.1023/A:1009646500088 doi (NATIONALLICENCE)springer-10.1023/A:1009646500088 A Practical Sequential Method for Principal Component Analysis [Elektronische Daten] [Arnold Wong, Kwok-Wo Wong, Chi-Sing Wong] When increasing numbers of principalcomponents are extracted by using the sequentialmethod proposed in [1] by Banour and Azimi-Sadjadi, the accumulated extractionerror will become dominant and affect the extractionsof the remaining principal components. To improvethis, we suggest that the initial weight vector forthe extraction of the next component should beorthogonal to the eigensubspace spanned by the alreadyextracted weight vectors. Simulation results showthat both the convergence and the accuracy of theextraction are improved. Our improved method is alsocapable of extracting full eigenspace accurately. Kluwer Academic Publishers, 2000 principal component analysis nationallicence sequential extraction nationallicence Wong Arnold Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong aut Wong Kwok-Wo Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong aut Wong Chi-Sing School of Applied Science, Nanyang Technological University, Singapore aut Neural Processing Letters Kluwer Academic Publishers 11/2(2000-04-01), 107-112 1370-4621 11:2<107 2000 11 11063 https://doi.org/10.1023/A:1009646500088 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1009646500088 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Wong Arnold Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong aut NATIONALLICENCE 700 1- Wong Kwok-Wo Department of Electronic Engineering, City University of Hong Kong, Kowloon, Hong Kong aut NATIONALLICENCE 700 1- Wong Chi-Sing School of Applied Science, Nanyang Technological University, Singapore aut NATIONALLICENCE 773 0- Neural Processing Letters Kluwer Academic Publishers 11/2(2000-04-01), 107-112 1370-4621 11:2<107 2000 11 11063 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer