Class participation, Google Folder.

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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 in the ML_Algorithms.PDF file.

Overview of clustering methods

Compare the clustering algorithms, using the Iris dataset.

Add the sections about clustering to your existing lab 4 Submission,ML_Algorithms.PDF

Carefully review the project requirements and the guidelines provided in the HCI International 2025 Conference Papers (midterm deadline). Ensure you understand the scope and expectations.

Choose the dataset that you plan to analyze for your research. Make sure the dataset is relevant to your research question(s).

Clearly formulate your research question(s). These should guide your analysis and align with your chosen dataset.

Start drafting your literature review. In Overleaf, cite at least six academic papers that are related to your research question(s) and methods.

Start outlining your methodology section. Describe the research methods you will use to analyze the dataset, providing a rationale for your approach.

Each team should schedule a 30-minute Zoom meeting with your instructor to discuss your midterm paper topic.

Submit your draft as midterm_draft_lab_5.pdf. Follow the HCI International Conference format, ensuring that your submission is double-blind, with no author information.

Submission format: Each team must submit one file named lab_5_lastname1_lastname2.zip. The file should include:

Email 'x.qu@gwu.edu' your zip file for lab 5.

Lab assignments will be released on Fridays and due the following Thursday.