How Clustering Works in Tableau
Cluster analysis partitions the marks in the view into clusters, where the marks within each cluster are more similar to one another than they are to marks in other clusters. Tableau distinguishes clusters using color.
For additional insight into how clustering works in Tableau, see the blog post Understanding Clustering in Tableau 10 at https://boraberan.wordpress.com/2016/07/19/understanding-clustering-in-tableau-10/.
The clustering algorithm
Tableau uses the k-means algorithm for clustering. For a given number of clusters k, the algorithm partitions the data into k clusters. Each cluster has a center (centroid) that is the mean value of all the points in that cluster. The k-means locates centers through an iterative ...