{"title":"Principal Component Analysis","authors":"AbdiHervé, J. WilliamsLynne","doi":"10.1017/9781108650212.008","DOIUrl":null,"url":null,"abstract":"Principal component analysis PCA is a multivariate technique that analyzes a data table in which observations are described by several inter-correlated quantitative dependent variables. Its goal is...","PeriodicalId":141245,"journal":{"name":"Essentials of Pattern Recognition","volume":"50 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"507","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Essentials of Pattern Recognition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1017/9781108650212.008","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 507
Abstract
Principal component analysis PCA is a multivariate technique that analyzes a data table in which observations are described by several inter-correlated quantitative dependent variables. Its goal is...