Question
Compare LDA with PCA. Choose what is true about LDA and PCA.
\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
\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
Answers
Answered by
GPT 3.5
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.
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