CS 66 Lab 5

Due Monday, 10/03/2022, by midnight (23:59, EST)

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Goals

The goals for this lab assignment are:

  • Understand Clustering

  • Get familiar with the Clustering dataset

  • Work on the midterm project

1. Unsupervised Learning (Three Hours)

  • User Guide

  • Review the examples in section 2.3 Clustering

  • Review the examples in section 2.5. Decomposing signals in componets

  • Write down you understanding of unsupervised learning

2. Clustering(Two Hours)

  • Overview of clustering methods

  • Compare the clustering algorithms, using the Iris dataset.

  • Add the sections about clustering to your existing lab 4 Submission

  • Page number from four to six, add more references, equations, tables and figures.

3. Submission Guide

  • Each student team only submits one file, lab_5_lastname1_lastname2.zip, including

    1. lab_5_lastname1_lastname2.pdf in AAAI format

    2. Select your favorite three Clustering (Unsupervised Learning) code examples using the Iris dataset, and explain why in your PDF

  • Start a shared Github project for your team, add your teammate, the instructor and TA

4. Notes

  • Email 'xqu1@swarthmore.edu' your zip file for lab 5, and cc your teammate.

  • Lab assignments will typically be released on Tuesday and will be due by midnight on the following Monday.