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Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
Support Vector Machine
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Support Vector Machine

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  • 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.

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