The high level goals of the experiment are:

1. Understand the idea of data clustering.
2. Understand how the choice an clustering algorithm is important for desired results.
3. Understand the described two clustering methods K-means and MST based.
4. Understand the difference between the two approaches used and the different results that these may give on similar data.