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This video talks about how to perform clustering with the k-means algorithm in R. k-means is an unsupervised classification technique.
With k-means we create groups or clusters such that observations within a same cluster are as similar as possible while observations in different groups are as dissimilar as possible.
In the video you can find the most relevant R commands for creating clusters with k-means for a sample dataset.
You'll also learn about interpretation of the k-means results and how to create visualizations to explore the data against principal components and against the original variables.
Get access to download the scripts and data from GoogleDrive: dataninjas.ck....