February 1, 2023    
3:00 pm - 4:00 pm


Bookings closed


School of Computer Science Advanced Computing Hub
300 Ouellette Avenue, Windsor, Ontario, N9B 3P4
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The School of Computer Science at the University of Windsor is pleased to present…

Technical Workshop Presentation by PhD Candidate Ali Abbasi Tadi

 Introduction to Data Clustering


Presenter:  – PhD Candidate Ali Abbasi Tadi

Date: Wednesday, February 1st, 2023

Time:  3:00 PM – 4:00 pm

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


  1. Two-part attendance mandatory (sign-in sheet, QR Code)
  2. Arrive 5-10 minutes prior to the event starting – LATECOMERS WILL NOT BE ADMITTED. Note that due to demand, if the room has reached capacity, even if you are “early,” you may not get admission.
  3. Be respectful of the decision of the advisor/host of the event if you are not given admittance; there are several more events in future.



Clustering is a way of grouping data points into different clusters consisting of similar data points. The objects with the possible similarities remain in a group that has less or no similarities with another group.  In this workshop, we explore various clustering approaches in centralized environments and provide various metrics for finding performance of clustering methods in the literature. We also provide basic concepts on some well-known clustering approaches and their differences followed by the performance discussion of each of the clustering methods. We introduce the ways by which we can improve clustering quality and justify the outperformance of the methods that we discuss.

Workshop Outline:

Clustering concepts and well-known approaches (k-means, Hierarchical, …). Quality metrics (Silhouette coefficient and Rand Index, and Adjusted Rand Index). Basic Implementations of clustering approaches in python


Basic Statistics concepts, basic python programming



Ali is pursuing his Ph.D. in computer science at the University of Windsor. His main research interest is security/privacy in machine learning. He has publications on private clustering in top conferences and peer-reviewed journals. He has received various scholarships from university of Windsor and got the 5th place in iDash 2022 competition.  He has been invited as speaker in Advanced Computing Hub at the university of Windsor. He is serving as program committee and editorial board of some conferences and journals .  He is currently developing secure framework for clustering sensitive genomic data.


Bookings are closed for this event.

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