A Hyperplane can be expressed as
A Hyperplane can be expressed as:
Answer
\(w^Tx+b\) where w is orthogonal to the hyperplane
For n points in
For n points in \(\mathbb{R}^d\), the hyperplane lies in:
Answer
d-1 dimensions
Support vectors are
Support vectors are:
Answer
at a distance of 1 from the hyperplane (on the margin)
Given a dataset D, the margin is
Answer
the minimum distance from every datapoint in D to the optimal hyperplane