Report suggest for future app development

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Assignment

The data set represents the locations of users of a certain app. 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.

1. 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.

2. 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.

3. Comment on any differences between the two methods. What might the final report suggest for future app development?

Submit your code and any output of the code to include tables and graphs as indicated. Submission of R code can be accomplished by creating a markdown document in RStudio and saving this as a .txt file.

Attachment:- Assignment.rar

Reference no: EM132977624

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