Support Vector Machine (SVM)
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Support Vector Machine (SVM)
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Support Vector Machine (SVM)
Hyperplane
Maximal Margin Classifier
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Support Vector Classifier

Support Vector Classifier

Simply speaking instead of looking at the maximum of the minimum of the distances we redefine the margin not to be the minimum of the distances but we allow some points to be on the other side of the margins or even the other side of the hyperplane. C, a tuning parameter controls how much we allow. If C=0 then we are back to Maximal Margin Classifier (if it is possible) If C>0 we become more tolerant of violations to the margin. C tells us how many points can be violating the margin.