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Basic Question 1 of 8
A PCA is primarily used for ______.
B. dimension reduction
C. clustering
A. binary classification
B. dimension reduction
C. clustering
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Learning Outcome Statements
describe unsupervised machine learning algorithms - including principal components analysis, k-means clustering, and hierarchical clustering - and determine the problems for which they are best suited;
CFA® 2025 Level II Curriculum, Volume 1, Module 6.