Partial least squares classification for high dimensional data using the PCOUT algorithm
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: 2013شناسه الکترونیک: 10.1007/s00180-012-0328-y
کلیدواژه(گان): Classification,Outlier,Partial least squares,PCOUT,Robustness
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Partial least squares classification for high dimensional data using the PCOUT algorithm
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contributor author | Turkmen, A. - Billor, N. | |
date accessioned | 2020-03-11T15:33:24Z | |
date available | 2020-03-11T15:33:24Z | |
date issued | 2013 | |
identifier issn | 0943-4062 | |
identifier other | 10.1007-s00180-012-0328-y.pdf | |
identifier uri | http://libsearch.um.ac.ir:80/fum/handle/fum/578045 | |
format | general | |
language | English | |
publisher | Springer-Verlag | |
title | Partial least squares classification for high dimensional data using the PCOUT algorithm | |
type | Journal Paper | |
contenttype | Metadata Only | |
identifier padid | 4431197 | |
subject keywords | Classification | |
subject keywords | Outlier | |
subject keywords | Partial least squares | |
subject keywords | PCOUT | |
subject keywords | Robustness | |
identifier doi | 10.1007/s00180-012-0328-y | |
journal title | Computational Statistics | |
journal volume | 28 | |
journal issue | 2 | |
filesize | 304930 | |
citations | 0 |