Compare LDA with PCA. Choose what is true about LDA and PCA.

Question

\text {LDA}: \text {PCA}:
(Choose all that apply.)

The projection is linear.

It needs data that have class labels.

The dimension of the target space is always smaller than k where k is the number of classes of data
unanswered

The projection is linear.

It needs data that have class labels.

The dimension of the target space is always smaller than k where k is the number of classes of data
unanswered

Answer 1

Both LDA and PCA have a linear projection, require data with class labels, and the dimension of the target space is always smaller than k where k is the number of classes of data.