Support vectors in kernel based SVM
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What do the support vectors mean in kernel based svm? are they the vectors that are of distance 1 from the hyperplane that linearly separates the data in the higher dimensional space?
Thank you in advance
statistics machine-learning
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$begingroup$
What do the support vectors mean in kernel based svm? are they the vectors that are of distance 1 from the hyperplane that linearly separates the data in the higher dimensional space?
Thank you in advance
statistics machine-learning
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add a comment |
$begingroup$
What do the support vectors mean in kernel based svm? are they the vectors that are of distance 1 from the hyperplane that linearly separates the data in the higher dimensional space?
Thank you in advance
statistics machine-learning
$endgroup$
What do the support vectors mean in kernel based svm? are they the vectors that are of distance 1 from the hyperplane that linearly separates the data in the higher dimensional space?
Thank you in advance
statistics machine-learning
statistics machine-learning
asked Dec 28 '18 at 13:15
yjntyjnt
113
113
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As in the linear case, they are vectors on the boundary. Below I annotated one example of the iris dataset, classified with a Radial Basis Function (RBF) kernel

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1 Answer
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1 Answer
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$begingroup$
As in the linear case, they are vectors on the boundary. Below I annotated one example of the iris dataset, classified with a Radial Basis Function (RBF) kernel

$endgroup$
add a comment |
$begingroup$
As in the linear case, they are vectors on the boundary. Below I annotated one example of the iris dataset, classified with a Radial Basis Function (RBF) kernel

$endgroup$
add a comment |
$begingroup$
As in the linear case, they are vectors on the boundary. Below I annotated one example of the iris dataset, classified with a Radial Basis Function (RBF) kernel

$endgroup$
As in the linear case, they are vectors on the boundary. Below I annotated one example of the iris dataset, classified with a Radial Basis Function (RBF) kernel

answered Dec 28 '18 at 14:58
caveraccaverac
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