StatQuest: K-means Clustering Explained

K-means clustering is used in all kinds of situations and it's crazy simple. The R code is on the StatQuest GitHub: https://github.com/StatQuest/k_means_clustering_demo/blob/master/k_means_clustering_demo.R

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0:00 Awesome song and introduction
0:33 The K-means clustering algorithm
4:26 How to pick a value for K (How to use an elbow plot)
6:06 K-means vs Hierarchical Clustering
6:28 K-means clustering and 2-Dimensional data
7:08 K-means clustering and heatmaps

Corrections:
5:58 I should have put "Reduction in Variation" instead of "Reduction is Variation"
7:25 Point (7,-8) should be in the lower right-hand quadrant.
8:25 The "nclust =25" in the arguments is actually "nstart=25"

#statquest #ML