Generalization of Quantification for PLS Correlation
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 이성근 | - |
dc.contributor.author | 허명회 | - |
dc.date.accessioned | 2021-09-07T00:30:47Z | - |
dc.date.available | 2021-09-07T00:30:47Z | - |
dc.date.created | 2021-06-18 | - |
dc.date.issued | 2012 | - |
dc.identifier.issn | 1225-066X | - |
dc.identifier.uri | https://scholar.korea.ac.kr/handle/2021.sw.korea/109542 | - |
dc.description.abstract | This study proposes a quantification algorithm for a PLS method with several sets of variables. We called the quantification method for PLS with more than 2 sets of data a generalization. The basis of the quantification for PLS method is singular value decomposition. To derive the form of singular value decomposition in the data with more than 2 sets more easily, we used the constraint, {a^t} a+ {b^t} {b}+{c^t} {c}=3 not a ^{t} a=1, b ^{t} b=1, and c ^{t} c=1, for instance, in the case of 3 data sets. However, to prove that there is no difference, we showed it by the use of 2 data sets case because it is very complicate to prove with 3 data sets. The keys of the study are how to form the singular value decomposition and how to get the coordinates for the plots of variables and observations. | - |
dc.language | English | - |
dc.language.iso | en | - |
dc.publisher | 한국통계학회 | - |
dc.title | Generalization of Quantification for PLS Correlation | - |
dc.title.alternative | Generalization of Quantification for PLS Correlation | - |
dc.type | Article | - |
dc.contributor.affiliatedAuthor | 허명회 | - |
dc.identifier.bibliographicCitation | 응용통계연구, v.25, no.1, pp.225 - 237 | - |
dc.relation.isPartOf | 응용통계연구 | - |
dc.citation.title | 응용통계연구 | - |
dc.citation.volume | 25 | - |
dc.citation.number | 1 | - |
dc.citation.startPage | 225 | - |
dc.citation.endPage | 237 | - |
dc.type.rims | ART | - |
dc.identifier.kciid | ART001636015 | - |
dc.description.journalClass | 2 | - |
dc.description.journalRegisteredClass | kci | - |
dc.subject.keywordAuthor | Partial Least Squares(PLS) | - |
dc.subject.keywordAuthor | generalization of quantification for PLS correlation. | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
(02841) 서울특별시 성북구 안암로 14502-3290-1114
COPYRIGHT © 2021 Korea University. All Rights Reserved.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.