<h1>Readings for Lectures of Cluster Analysis</h1>
<h2>Lecture 1</h2>
<p>Garson Textbook Chapter 3</p>
<h2>Lecture 2</h2>
<p><ahref="https://arxiv.org/pdf/1404.1100.pdf">A Tutorial on Principal Component Analysis</a></p>
<h2>Lecture 3</h2>
<p>No Readings</p>
<h2>Lecture 4</h2>
<p>An Introduction to Applied Multivariate Analysis with R by Brian Evveritt and Torsten Horthorn.</p>
<p>Sections 3.0-3.9 Everitt</p>
<h2>Lecture 5</h2>
<p>Section 4.1 Everitt</p>
<h2>Lecture 6</h2>
<p>Section 4.2 Everitt</p>
<p>Applied Multivariate Statistical Analysis Johnson Section 12.3</p>
<p><ahref="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">Linkage Methods for Cluster Observations</a></p>
<h2>Lecture 7</h2>
<p>Section 4.3 Everitt</p>
<h2>Lecture 8</h2>
<p><ahref="https://www.oreilly.com/learning/an-illustrated-introduction-to-the-t-sne-algorithm">Introduction to the TSNE Algorithm</a></p>