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Basic Question 8 of 8
Which model(s) focus(es) on reducing the number of features?
II. K-Means Clustering
III. Principal Components Analysis
I. Penalized Regression
II. K-Means Clustering
III. Principal Components Analysis
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I am using your study notes and I know of at least 5 other friends of mine who used it and passed the exam last Dec. Keep up your great work!
Barnes
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.