In Multivariate Statistics (II), our aim is to study some statistical analysis techniques (Discrimination and Classification Analysis(DCA), Multidimensional Scaling(MDS), Correspondence Analysis(CRA), Biplots), In particular, MDS, CRA and Biplost are very useful multivariate visualization techniques which can be applied in Big Data and Data Mining. In addition, we have two special lectures for Machine Learnings(MLs): SVM(support vector machine) and ANN(artficial neural network). Moreover in this lecture, we have a good chance to learn R-codes for programing some algorithms related with DCA, MDS, CRA , SVM and ANN.
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게시글 리스트
| 번호 | 제목 | 작성자 | 작성일 | 조회수 | 첨부파일 |
|---|---|---|---|---|---|
| 22 | Review of Basic Concepts in Multivariate Data, | 최용석 | 2025.08.20 | 130 |
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| 21 | Additional References(2025) | 최용석 | 2025.07.28 | 121 |
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| 20 | A.Machine Learnings(ML) | 최용석 | 2025.07.28 | 151 |
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| 19 | 8. Correspondence Analysis(CRA) | 최용석 | 2025.07.28 | 128 |
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| 18 | 7.Multidimensional Scaling(MDS) | 최용석 | 2025.07.28 | 144 |
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| 17 | 6. Discriminant Analysis(DCA) | 최용석 | 2025.07.28 | 177 |
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| 16 | Welcome and Introduction | 최용석 | 2025.07.28 | 88 |
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| 15 | Additional Lecture Notes | 최용석 | 2023.08.23 | 327 |
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| 14 | 최용석(2018). Data Scientist로 살아가는 Big Data 시대의 산책 | 최용석 | 2020.11.12 | 338 |
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| 13 | 최순국(2011). Social Network Analysis and It’s Applications for Co-authors and Key-words Networks in th | 최용석 | 2020.11.12 | 310 |
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