![Support Vector Machine 3
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-3-320.jpg)
![Support Vector Machine 4
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-4-320.jpg)
![Support Vector Machine 5
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-5-320.jpg)
![Support Vector Machine 6
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-6-320.jpg)
![Support Vector Machine 7
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-7-320.jpg)
![Support Vector Machine 8
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-8-320.jpg)
![Support Vector Machine 9
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-9-320.jpg)
![Support Vector Machine 10
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-10-320.jpg)
![Support Vector Machine 11
What if the problem is not linearly separable?
[2]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-11-320.jpg)
![Support Vector Machine 13
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-13-320.jpg)
![Support Vector Machine 14
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-14-320.jpg)
![Support Vector Machine 15
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-15-320.jpg)
![Support Vector Machine 16
[1]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-16-320.jpg)
![Support Vector Machine 17
[4]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-17-320.jpg)
![Support Vector Machine 18
[3]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-18-320.jpg)
![Support Vector Machine 19
Multiclass outcome
- SVM only handle binary classification
- Although binary classification is the most common classification in
microarray, multiclass outcome could be occur in practice
- Modification is needed to handle multiclass outcome
- one-versus-rest (OVR)
- one-versus-one (OVO)
[2]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-19-320.jpg)
![Support Vector Machine 20
Multiclass outcome
[2]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-20-320.jpg)
![Support Vector Machine 21
OVR-SVM
[2]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-21-320.jpg)
![Support Vector Machine 22
OVO-SVM
[2]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-22-320.jpg)
![Support Vector Machine 23
[5]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-23-320.jpg)
![Support Vector Machine 24
Example 1. Classification in Iris Data
[5]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-24-320.jpg)
![Support Vector Machine 25
Example 1. Classification in Iris Data
[5]](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-25-320.jpg)
![Support Vector Machine 32
References
[1] Zhang, X. Support Vector Machine. Lecture slides on Data Mining course. Fall 2010, KSA: KAUST
[2] Statnikov, A. et al. 2005. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer
diagnosis. Bioinformatics, 21:5, 631-643
[3] Hastie, T., Tibshirani, R., Friedman, J. The elements of statistical learning, second edition. 2009. New York: Springer
[4] Guyon, I et al. 2002. Gene selection for cancer classification using support vector machines. Machine Learning, 49, 389-422
[5] Meyer, D. et al. 2012. R package: e1071.](https://image.slidesharecdn.com/svm-130102133251-phpapp01/85/Support-Vector-Machine-32-320.jpg)
Support Vector Machine
- 1. Support Vector Machine Putri W Novianti Victor L Jong Biostatistics & Research Support Julius Center for Health Sciences and Primary Care University Medical Center Utrecht
- 2. Support Vector Machine 2 • Binary classification method • The method finds the best decision hyperplane that separate sample from two classes with maximum margin
- 3. Support Vector Machine 3 [1]
- 4. Support Vector Machine 4 [1]
- 5. Support Vector Machine 5 [1]
- 6. Support Vector Machine 6 [1]
- 7. Support Vector Machine 7 [1]
- 8. Support Vector Machine 8 [1]
- 9. Support Vector Machine 9 [1]
- 10. Support Vector Machine 10 [1]
- 11. Support Vector Machine 11 What if the problem is not linearly separable? [2]
- 12. Support Vector Machine 12
- 13. Support Vector Machine 13 [1]
- 14. Support Vector Machine 14 [1]
- 15. Support Vector Machine 15 [1]
- 16. Support Vector Machine 16 [1]
- 17. Support Vector Machine 17 [4]
- 18. Support Vector Machine 18 [3]
- 19. Support Vector Machine 19 Multiclass outcome - SVM only handle binary classification - Although binary classification is the most common classification in microarray, multiclass outcome could be occur in practice - Modification is needed to handle multiclass outcome - one-versus-rest (OVR) - one-versus-one (OVO) [2]
- 20. Support Vector Machine 20 Multiclass outcome [2]
- 21. Support Vector Machine 21 OVR-SVM [2]
- 22. Support Vector Machine 22 OVO-SVM [2]
- 23. Support Vector Machine 23 [5]
- 24. Support Vector Machine 24 Example 1. Classification in Iris Data [5]
- 25. Support Vector Machine 25 Example 1. Classification in Iris Data [5]
- 26. Support Vector Machine 26 SVM for Regression
- 27. Support Vector Machine 27 SVM for Regression
- 28. Support Vector Machine 28
- 29. Support Vector Machine 29
- 30. Support Vector Machine 30
- 31. 31
- 32. Support Vector Machine 32 References [1] Zhang, X. Support Vector Machine. Lecture slides on Data Mining course. Fall 2010, KSA: KAUST [2] Statnikov, A. et al. 2005. A comprehensive evaluation of multicategory classification methods for microarray gene expression cancer diagnosis. Bioinformatics, 21:5, 631-643 [3] Hastie, T., Tibshirani, R., Friedman, J. The elements of statistical learning, second edition. 2009. New York: Springer [4] Guyon, I et al. 2002. Gene selection for cancer classification using support vector machines. Machine Learning, 49, 389-422 [5] Meyer, D. et al. 2012. R package: e1071.