Learn Live - Introduction to clustering models by using R and tidymodels

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Get an introduction to clustering models. Clustering is the process of grouping objects with similar objects.

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Learning objectives

- When to use clustering models
- How to train and evaluate clustering models by using the tidymodels framework

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Chapters
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00:00 - Introduction
03:01 - Learning Objectives
03:54 - What is clustering?
05:24 - Preparing data with PCA
07:16 - Evaluating different types of clustering
07:42 - K-means clustering
12:56 - Within cluster sum of squares
15:51 - Demo: K-means clustering
28:08 - Hierarchical clustering
30:28 - Hierarchical clustering: agglomerative clustering
33:23 - Measures of dissimilarity between clusters
35:43 - Demo: K-means clustering vs hierarchical clustering
1:03:40 - Knowledge Check
1:12:53 - Summary and Conclusion

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Presenters

Carlotta Castelluccio
Cloud advocate
Microsoft

Jasleen Sondhi
Aspiring Data Scientist, Microsoft Student Ambassador
N/A

Moderators

Olanrewaju Oyinbooke
Senior Cloud Advocate
Microsoft

[djangoworldwide]

Its a bit funny to use baseR / other cran packages instead of the Tidyclust, :: maintained by Posit and in coherence with the other tidy packages (models, verse)...