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36 lines
893 B
Markdown
36 lines
893 B
Markdown
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# Readings for Lectures of Cluster Analysis
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## Lecture 1
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Garson Textbook Chapter 3
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## Lecture 2
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[A Tutorial on Principal Component Analysis](https://arxiv.org/pdf/1404.1100.pdf)
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## Lecture 3
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No Readings
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## Lecture 4
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An Introduction to Applied Multivariate Analysis with R by Brian Evveritt and Torsten Horthorn.
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Sections 3.0-3.9 Everitt
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## Lecture 5
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Section 4.1 Everitt
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## Lecture 6
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Section 4.2 Everitt
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Applied Multivariate Statistical Analysis Johnson Section 12.3
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[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)
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## Lecture 7
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Section 4.3 Everitt
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## Lecture 8
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[Introduction to the TSNE Algorithm](https://www.oreilly.com/learning/an-illustrated-introduction-to-the-t-sne-algorithm)
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## Lecture 9
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Section 9.5 Everitt
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