Question: Consider a soft - margin SVM with a linear kernel and no slack variables, trained on n points. The number of support vectors returned is

Consider a soft-margin SVM with a linear kernel and no slack variables, trained on n points. The number of support vectors returned is k. By adding one extra point to the dataset and retraining the classifier, what is the maximum possible number of support vectors that can be returned (tuning parameter C)?
k
n
n +1
k +1

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