Question
with this data: https://docs.google.com/spreadsheets/d/1l1KG9lICAOuBHCgBe962Etpfzup9oYHwgpBDhzjzdko/edit#gid Determine whether there is a location that users tend to migrate to when using this app or whether users in a
with this data:
https://docs.google.com/spreadsheets/d/1l1KG9lICAOuBHCgBe962Etpfzup9oYHwgpBDhzjzdko/edit#gid
Determine whether there is a location that users tend to migrate to when using this app or whether users in a certain neighborhood tend to use the app more.
- Use a centroid-based algorithm, such as k-means clustering, on the data set and report whether there are neighborhoods of heavy app use, and if so, where these neighborhoods are located.
- Use a density iterative algorithm, such as Gaussian mixtures, on the data set and report whether there are neighborhoods of heavy app use, and if so, where these neighborhoods are located.
- Comment on any differences between the two methods. What might the final report suggest for future app development?
Problem 1: A K-means or similar algorithm was constructed.
Problem 1: Numerical computations are correct.
Problem 2: A Gaussian mixture or similar density algorithm was constructed.
Problem 2: Numerical computations are correct.
Problem 3: Differences were discussed in more than surface-level detail and were mathematically correct.
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