CS 6364_4364 Lab 5
Due Thursday, 09/26/2024, by midnight (23:59, EST)
Announcements
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Class participation, Google Folder.
Goals
The goals for this lab assignment are:
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Understand Clustering
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Get familiar with the Clustering dataset
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Work on the midterm project
1. Unsupervised Learning (Three Hours)
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Review the examples in section 2.3 Clustering
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Review the examples in section 2.5. Decomposing signals in componets
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Write down you understanding of unsupervised learning
2. Clustering(Two Hours)
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Compare the clustering algorithms, using the Iris dataset.
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Add the sections about clustering to your existing lab 4 Submission
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Page number from four to six, add more references, equations, tables and figures.
3. Midterm Draft 1 (Three Hours)
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Review the requirements and the midterm deadline
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Choose the dataset you plan to analyze.
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Define your research question(s).
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Begin your literature review by citing at least three papers in Overleaf.
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Each team should schedule a 30-minute Zoom meeting with your instructor to discuss your midterm paper topic.
4. Submission Guide
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Each student team only submits one file, lab_5_lastname1_lastname2.zip, including
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lab_5_lastname1_lastname2.pdf in HCII format
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Select your favorite three Clustering (Unsupervised Learning) code examples using the Iris dataset, and explain why in your PDF
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5. Notes
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Email 'x.qu@gwu.edu' your zip file for lab 5.
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Lab assignments will be released on Fridays and due the following Thursday.