Skip to content

Latest commit

 

History

History
11 lines (9 loc) · 355 Bytes

README.md

File metadata and controls

11 lines (9 loc) · 355 Bytes

Week9_Lec

This set contains codes to implement k-means algorithms. At the end of the exercise, logics contained in helper.py should be re-implemented in corresponding codes.

Steps:

  • Implement missing functions in sample_student.py
  • Then the util module
  • Next, update and computeCentroid in Cluster class
  • Finall, the main iteration in kmeans.py