13/03/2026
Clustering starts with one thing: distance.
If you do not understand how distance works, then cluster analysis will always feel confusing.
In this video, I explain the foundation of clustering in R using a real dataset. You will learn how distance is calculated between observations, how a distance matrix is built, why scaling matters, and how categorical variables can be handled using dummy variables and binary distance.
This video is especially useful for students, researchers, and anyone learning cluster analysis, machine learning, data science, or unsupervised learning in R.
Watch the full video and build the most important concept behind clustering the right way.
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