What are Support Vectors in SVM (Support Vector Machine)? – InterviewSolution

InterviewSolution

1.	What are Support Vectors in SVM (Support Vector Machine)?
Answer» In the above DIAGRAM, we can see that the thin lines MARK the distance from the classifier to the closest data points (darkened data points). These are called support vectors. So, we can DEFINE the support vectors as the data points or vectors that are nearest (closest) to the hyperplane. They AFFECT the position of the hyperplane. Since they support the hyperplane, they are KNOWN as support vectors.

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