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			104 lines
		
	
	
	
		
			3.3 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
			
		
		
	
	
			104 lines
		
	
	
	
		
			3.3 KiB
		
	
	
	
		
			HTML
		
	
	
	
	
	
| <!DOCTYPE html>
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|     <h1>Readings for Lectures of Cluster Analysis</h1>
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| <h2>Lecture 1</h2>
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| <p>Garson Textbook Chapter 3</p>
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| <h2>Lecture 2</h2>
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| <p><a href="https://arxiv.org/pdf/1404.1100.pdf">A Tutorial on Principal Component Analysis</a></p>
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| <h2>Lecture 3</h2>
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| <p>No Readings</p>
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| <h2>Lecture 4</h2>
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| <p>An Introduction to Applied Multivariate Analysis with R by Brian Evveritt and Torsten Horthorn.</p>
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| <p>Sections 3.0-3.9 Everitt</p>
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| <h2>Lecture 5</h2>
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| <p>Section 4.1 Everitt</p>
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| <h2>Lecture 6</h2>
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| <p>Section 4.2 Everitt</p>
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| <p>Applied Multivariate Statistical Analysis Johnson Section 12.3</p>
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| <p><a href="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>
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| <h2>Lecture 7</h2>
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| <p>Section 4.3 Everitt</p>
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| <h2>Lecture 8</h2>
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| <p><a href="https://www.oreilly.com/learning/an-illustrated-introduction-to-the-t-sne-algorithm">Introduction to the TSNE Algorithm</a></p>
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| <h2>Lecture 9</h2>
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| <p>Section 9.5 Everitt</p>
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