ActuarialExam SRMPrincipal Components and Cluster Analysis
Exam SRM topic · 5–10% of exam

Principal Components and Cluster Analysis

Dimension reduction via principal components analysis and unsupervised clustering via k-means and hierarchical clustering.

What you need to know

These are the key learning objectives for Principal Components and Cluster Analysis on SOA Exam SRM. Paraphrased from the public SOA syllabus — we recommend also checking the current syllabus on soa.org before your exam sitting.

Compute and interpret principal components for dimension reduction

Apply k-means clustering and select an appropriate number of clusters

Apply hierarchical clustering and interpret dendrograms

How exclam.ai helps you master Principal Components and Cluster Analysis

Flashcards from your manual

Upload your ACTEX Exam SRM digital edition, scanned ASM pages, TIA handouts, or your own notes. exclam.ai extracts the Principal Components and Cluster Analysis sections and generates flashcards automatically.

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FSRS spaced repetition

Because Principal Components and Cluster Analysis is 5–10% of your exam, losing it during review costs you. FSRS brings it back at the optimal moment.

Principal Components and Cluster Analysis in the Exam SRM context

SOA Exam SRM has 5 topic areas. Principal Components and Cluster Analysis is weighted at approximately 5–10% of the exam — here is where it sits relative to the other topics.

Topic areaWeight
Basics of Statistical Learning7–13%
Linear Models40–50%
Decision Trees20–25%
→ Principal Components and Cluster Analysis5–10%
Time Series Models5–10%

Other Exam SRM topics

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