Assignment 3 Completed

[VincentSchaik]

What changes are you trying to make? (e.g. Adding or removing code, refactoring existing code, adding reports)

• Added K-Means clustering, bootstrapping for mean estimate, and confidence interval visualization.

What did you learn from the changes you have made?

• How to assess clustering output and estimate uncertainty using bootstrapping.

Was there another approach you were thinking about making? If so, what approach(es) were you thinking of?

• I could have used the knee_locator.knee to programmatically select the optimal k for clustering.

Were there any challenges? If so, what issue(s) did you face? How did you overcome it?

• Accidentally stored full samples instead of means during bootstrapping. Fixed by correcting the loop.

How were these changes tested?

• Through visual inspection of plots, printed outputs, and confirming no runtime errors.

A reference to a related issue in your repository (if applicable)

• N/A

Checklist

• I can confirm that my changes are working as intended

[DwardEE]

Great work!

Everything seems correct. No changes are needed