When using PCA, all the following are disadvantages except
A) PCA results are difficult to interpret clearly.
B) components are weighted linear combinations and abstract.
C) PCA only works with numerical data.
D) PCA significantly increases the dimension of the data.

Question

Quizplus · Accepted Answer

PCA (Principal Component Analysis) is actually used for dimensionality reduction, not for increasing the dimension of the data. It transforms the original variables into a new set of variables, which are the principal components of the original data. The other options (A, B, C) are considered disadvantages or limitations of PCA.

When Using PCA, All the Following Are Disadvantages Except