Week 10

Author

Huanfa Chen

Published

October 29, 2025

Introduction

This week will introduce how to group similar data points together to discover patterns and structures within a dataset.

Learning Objectives

By the end of this week, you will be able to:

  1. Understand the principle and purpose of clustering analysis.
  2. Understand K-Means and apply K-Means to various datasets.
  3. Interpret the results of clustering analysis.

Lecture

To access the lecture notes: Lecture

Quiz

To access the quiz on Moodle, please check Moodle page.

Practical

Note

To save a copy of notebook to your own GitHub Repo: follow the GitHub link, click on Raw and then Save File As... to save it to your own computer. Make sure to change the extension from .ipynb.txt (which will probably be the default) to .ipynbbefore adding the file to your GitHub repository.

To access the practical:

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Further resources