juniorSVM

What is a support vector?

Updated May 17, 2026

Short answer

Support vectors are the data points closest to the decision boundary.

Deep explanation

They are critical points that influence the position and orientation of the hyperplane. Removing them changes the model boundary.

Real-world example

In handwriting recognition, edge cases define the decision boundary.

Common mistakes

  • Thinking all data points affect the hyperplane equally.

Follow-up questions

  • What happens if support vectors change?
  • Are support vectors always few?

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