Question

3.
Which of the following statements is true of principal component analysis (PCA) and cluster analysis?
PCA and cluster analysis are incompatible techniques, only one of them can be applied to the same data
PCA is a data reduction technique and cluster analysis is a dimensionality reduction technique
Cluster analysis is a data reduction technique and PCA is a dimensionality reduction technique
The main goal of cluster analysis is to identify redundant variables and the main goal of PCA is to create
homogeneous groups of observations​

Answer 1

Answer:

1ST ONE

Explanation:

PCA and cluster analysis are incompatible techniques, only one of them can be applied to the same data