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Basic Question 5 of 8
If you need to group 1,000 companies based on their financial characteristics (e.g. total assets, total revenue, costs and profits) and operating characteristics (e.g. employee headcount), you will most likely to use ______ for the task.
B. CART
C. K-Nearest Neighbor
A. K-means clustering
B. CART
C. K-Nearest Neighbor
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Lina
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.