| 1. |
 |
Welcome and Introduction |
|
 |
|
|
6.1 Understanding DCA |
|
|
| 2. |
|
6.2 DCA with Two Clusters and 6.3 DCA of Two Multivariate Normal Clusters |
|
|
|
|
6.3 DCA of Two Multivariate Normal Clusters |
|
|
| 3. |
|
6.3 DCA of Two Multivariate Normal Clusters |
|
|
| 4. |
|
6.4 DCA with Several Clusters and 6.5 DCA of Several Multivariate Normal Clusters |
|
|
|
|
6.5 DCA of Several Multivaiate Normal Clusters and 6.6 Evaluation of DCA |
|
|
| 5. |
|
7.1 Comprehension of MDS |
|
|
| 6. |
|
7.2 Metric MDS |
|
|
|
|
7.3 Non-Metric MDS |
|
|
| 7. |
|
7.3 Non-Metric MDS and 8. Correspondence Analysis(CRA) |
|
|
| 8. |
|
8.1 Comprehension of CRA |
|
|
| 9. |
|
8.2 Simple CRA, 8.3 Indepndence and Homogeneity in CRA |
|
|
|
|
8.4 Multiple CRA |
|
|
| 10. |
|
8.4 Multiple CRA |
|
|
|
|
8.4 Multiple CRA |
|
|
| 11. |
|
8.6 R for CRA: Practice Time and Applications of CRA in Text Mining |
|
|
| 12. |
|
A. Machine Learnings (ML) |
|
|
|
|
A.2 SVM(support vector machine) |
|
|
| 13. |
|
A.3 ANN(artificial neural network) |
|
|
대구광역시 동구 동내로 64(동내동 1119) 우)41061
페이스북
트위터
카카오스토리
네이버밴드
링크복사
