Statistical Learning: Clustering

Date & Time: Thu., Jan. 20, 2022 • 1–3 p.m. CT

Instructor:

• Sutanoy Dasgupta | Texas A&M Statistics | sutanoy@tamu.edu

STATISTICAL LEARNING: Clustering

Learning Objectives:

• Apply K-mean clustering algorithm to relevant datasets using R.
• Apply Gaussian mixture clustering algorithm to relevant datasets using R.
• Apply Hierarchical clustering algorithm to relevant datasets using R.
• Apply DBSCAN density based clustering to relevant datasets using R
• Interpret the results of clustering algorithms.
• Evaluate the performance of clustering algorithms.

SESSION MATERIALS

The instructor will present using an R notebook that integrates exposition with executable code examples, exercises and quizzes.

You can run your own copy of the notebook in a web browser using Google Colab. No further software installation is required.

To view the notebook: click on the link below

To run notebook code: you must be signed into a Google account and click “run anyway” if prompted.

• View the notebook in Google Colab

Post about the program on social media and use this hashtag!
#TAMIDSBiomedicalDataScience