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Basic Question 6 of 8
______ is better suited for identifying large clusters.
B. Cohesive hierarchical clustering
C. Divisive hierarchical clustering
A. Agglomerative hierarchical clustering
B. Cohesive hierarchical clustering
C. Divisive hierarchical clustering
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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.