# Readings for Lectures of Cluster Analysis

## Lecture 1
Garson Textbook Chapter 3

## Lecture 2
[A Tutorial on Principal Component Analysis](https://arxiv.org/pdf/1404.1100.pdf)

## Lecture 3
No Readings

## Lecture 4
An Introduction to Applied Multivariate Analysis with R by Brian Evveritt and Torsten Horthorn.

Sections 3.0-3.9 Everitt

## Lecture 5

Section 4.1 Everitt

## Lecture 6
Section 4.2 Everitt

Applied Multivariate Statistical Analysis Johnson Section 12.3

[Linkage Methods for Cluster Observations](https://support.minitab.com/en-us/minitab/18/help-and-how-to/modeling-statistics/multivariate/how-to/cluster-observations/methods-and-formulas/linkage-methods/#mcquitty)

## Lecture 7
Section 4.3 Everitt

## Lecture 8
[Introduction to the TSNE Algorithm](https://www.oreilly.com/learning/an-illustrated-introduction-to-the-t-sne-algorithm)

## Lecture 9
Section 9.5 Everitt