Technical Workshop Series - K-means Clustering for Data Analysis (2nd Offering)

Thursday, April 11, 2024 - 14:15


K-means Clustering for Data Analysis (2nd Offering)


Presenter: Nahid Abdolrahmanpour

Date: Thursday, April 11th 2024

Time: 2:15 pm

Location: 4th Floor (Workshop space) at 300 Ouellette Avenue (School of Computer Science Advanced Computing Hub)


Unlock the potential of unsupervised learning with this workshop on K-means clustering! Dive into clustering algorithms and see how K-means reveals hidden patterns in your data. With a mix of theory and real-world examples, you'll leave equipped to use K-means effectively in your projects. Demystify clustering and start making data-driven decisions!
Workshop Outline:
1. Introduction to Clustering
2. Understanding K-means Clustering
3. Implementation of K-means
4. Evaluation of K-means Clustering
5. Practical Applications and Examples
6. Tips and Best Practices
7. Q&A Session
8. Conclusion
• Basic understanding of machine learning concepts
• Familiarity with data analysis principles
• Interest in learning about clustering algorithms and their applications
Nahid Abdolrahmanpour is a Ph.D. Student in Computer Science at the University of Windsor. They have a solid foundation in Data Mining and Artificial Intelligence with a research focus on So-cial Network Analysis, and a Master's degree in Computer Science specializing in Data Mining.

MAC STUDENTS ONLY - Register here