IEICE Technical Committee Submission System
Conference Paper's Information
Online Proceedings
[Sign in]
Tech. Rep. Archives
 Go Top Page Go Previous   [Japanese] / [English] 

Paper Abstract and Keywords
Presentation 2019-11-09 16:30
Classification of Students by Principal Components Analysis
Yawen Li, Shinya Nogami (TUS) ET2019-57
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we use dummy data on the scores of first-year students in the Faculty of Business Administration to clarify the relationship between students' grades, favorite subjects, and their types (science or humanities) by principal component analysis. For students' grades, use GPA. For good subjects, use grades converted from exam grades. The purpose of this time is to clarify the characteristics of undergraduate students by clarifying these relationships.
Keyword (in Japanese) (See Japanese page) 
(in English) GPA / Cluster Analysis / favorite subjects / science or humanities / principal component analysis / / /  
Reference Info. IEICE Tech. Rep., vol. 119, no. 276, ET2019-57, pp. 55-58, Nov. 2019.
Paper # ET2019-57 
Date of Issue 2019-11-02 (ET) 
ISSN Online edition: ISSN 2432-6380
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)
Download PDF ET2019-57

Conference Information
Committee ET  
Conference Date 2019-11-09 - 2019-11-09 
Place (in Japanese) (See Japanese page) 
Place (in English) Hiroshima City University 
Topics (in Japanese) (See Japanese page) 
Topics (in English) Learning Support Using VR-AR, etc. 
Paper Information
Registration To ET 
Conference Code 2019-11-ET 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Classification of Students by Principal Components Analysis 
Sub Title (in English)  
Keyword(1) GPA  
Keyword(2) Cluster Analysis  
Keyword(3) favorite subjects  
Keyword(4) science or humanities  
Keyword(5) principal component analysis  
1st Author's Name Yawen Li  
1st Author's Affiliation Tokyo University of Science (TUS)
2nd Author's Name Shinya Nogami  
2nd Author's Affiliation Tokyo University of Science (TUS)
3rd Author's Name  
3rd Author's Affiliation ()
4th Author's Name  
4th Author's Affiliation ()
5th Author's Name  
5th Author's Affiliation ()
6th Author's Name  
6th Author's Affiliation ()
7th Author's Name  
7th Author's Affiliation ()
8th Author's Name  
8th Author's Affiliation ()
9th Author's Name  
9th Author's Affiliation ()
10th Author's Name  
10th Author's Affiliation ()
11th Author's Name  
11th Author's Affiliation ()
12th Author's Name  
12th Author's Affiliation ()
13th Author's Name  
13th Author's Affiliation ()
14th Author's Name  
14th Author's Affiliation ()
15th Author's Name  
15th Author's Affiliation ()
16th Author's Name  
16th Author's Affiliation ()
17th Author's Name  
17th Author's Affiliation ()
18th Author's Name  
18th Author's Affiliation ()
19th Author's Name  
19th Author's Affiliation ()
20th Author's Name  
20th Author's Affiliation ()
Speaker Author-1 
Date Time 2019-11-09 16:30:00 
Presentation Time 25 minutes 
Registration for ET 
Paper # ET2019-57 
Volume (vol) vol.119 
Number (no) no.276 
Page pp.55-58 
Date of Issue 2019-11-02 (ET) 

[Return to Top Page]

[Return to IEICE Web Page]

The Institute of Electronics, Information and Communication Engineers (IEICE), Japan