0
$\begingroup$

With two classes, why does Linear Discriminant Analysis (LDA) consider only projecting onto one dimension (k=1)? Normally, even with 2 classes, you can consider projecting the d-dimensional original feature vector onto any k-dimensional space.

$\endgroup$

0

You must log in to answer this question.