1. Use a centroid-based algorithm, such as k-means clustering, on the data set and reportwhether there are neighborhoods of heavy app use, and if so,where these neighborhoods are located.
2. Use a density iterative algorithm, such as Gaussian mixtures, on the data set and report whether there areneighborhoods of heavy app use, and if so, where these neighborhoods are located.
3. Comment on any differences between the two methods. What might the final report suggest for future app development?