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interview-k-means

A simple implementation of kmeans using numpy, with basic functionality completed within an hour.

Rough log of time:

  • 00:00 - 00:10: Researched the problem, searching for information about efficient numpy implementations
  • 00:10 - 00:15: Set up folder structure, with modules. Created empty files, and set up requirements.txt
  • 00:15 - 00:45: Wrote code implementation
  • 00:45 - 00:54: Wrote a basic test function, with general debugging. Wrote this README.md file.

All core functionality as done, as well as some amount of test code. Started this assignment at JST 2021-09-13 2:00PM

Next steps to improve (but I'm out of time):

  • Write more test cases
  • Write an interface to support visualization of the clusters given some test data
  • Write up a usage guide in place of this log, in the Readme.md

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