The goal of k-means clustering in this case study

The goal must be clear, not simple, not easy, for Pert's managers to understand. Pert decides to write a Python program first. Then if things go well, a full-scale project will be designed. The goal must be to find the gain zone. The gain zone will be the data points that could have been optimized in terms of distances.

In projects you build, distances can be replaced by costs, hours, or any optimization measurement feature. Location can be replaced by a feature such as the number of people, phone calls, or any other measurement.

k-means clustering can be applied to a range of applications as explained in Chapter 7, When to Use Artificial Intelligence.