{"title":"Eigenvalues of Correlation Analysis for Higher Education Institutional Data","authors":"M. Ida","doi":"10.1109/IS3C57901.2023.00061","DOIUrl":null,"url":null,"abstract":"In this paper we examine education related data of higher education institutions or universities in Japan. Especially we examine eigenvalues of correlation analysis for universities’ data of student mobility by using the knowledge of Random Matrix Theory. We show some numerical examples to examine the effectiveness of the knowledge for eigenvalues and its application to Principal Component Analysis. Moreover, we identify the future issues of this analysis method.","PeriodicalId":142483,"journal":{"name":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 Sixth International Symposium on Computer, Consumer and Control (IS3C)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IS3C57901.2023.00061","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
In this paper we examine education related data of higher education institutions or universities in Japan. Especially we examine eigenvalues of correlation analysis for universities’ data of student mobility by using the knowledge of Random Matrix Theory. We show some numerical examples to examine the effectiveness of the knowledge for eigenvalues and its application to Principal Component Analysis. Moreover, we identify the future issues of this analysis method.
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