1. Class - Monday, Dec. 6
   1. Principal Components Analysis
2. Class & Recitation - Thursday-Friday, Dec. 9-10
   1. Clustering

Background Material

• Introduction to Statistical Learning
  • Introductory: Chapter 6 - PCA Overview

• Advanced: ISLR Chapter 10 - Unsupervised Learning (through Section 10.2)

• Statquest Videos
  • PCA main ideas (5 min)
  • PCA step-by-step (20 min)
  • PCA practical tips (8 min)
  • PCA in R (9 min)

Notes: PCA - (html) - (pdf)

Example

Background Reading

• Computational Genomics with R Altuna Akalin (2020-09-30) - HTML - PDF
• Additional references
  • Data Analysis Tools for Microarrays, Chapter 11: Cluster analysis Sorin Draghici (2003) - PDF
  • Practical Guide to Clustering Analysis in R Alboukadel Kassambara (2017) - PDF

Class Notes - PPTX - PDF

• Class Exercise - (DATA)
  • Answer key - (zipped .R) - (html)
  • Note that the code in the key was reorganized a little bit to make the presentation clearer.