Homework 4

Useful CSE 160 Resources¶

• CSE 160 Code Quality Guide
• flake8 References

Overview¶

In this assignment, you’ll be designing, implementing, and using k-means clustering, a technique often used in machine learning. By the end of this assignment, you will:

• Be familiar with how to implement a clustering algorithm and use it for data analysis.
• Write Python code using lists and dictionaries for computational problem solving.

Submission¶

This homework is split into two parts to help break down the task into more manageable chunks:

• Part 1: Submit kmeans.py with at least Part 1 completed by Friday, May 3^rd.
• Part 2: Submit kmeans.py, analysis.py, and answers.txt with all parts completed by Friday, May 10^th.

Subpages

1. Background - Background information on k-means clustering.
2. Part 1: The Algorithm - Complete part one of the programming assignment, where you will implement the k-means clustering algorithm.
3. Part 2: Analysis - Complete part two of the programming assignment, where you will use your algorithm!