Technical Workshop Series - Clustering and Data Segmentation Techniques: A K-Means Approach by: Dr. Ranga

Wednesday, May 29, 2024 - 10:00

Technical Workshop Series

The School of Computer Science Presents…

Clustering and Data Segmentation Techniques: A K-Means Approach


Presenter:  Dr. Prashanth C. Ranga

Date: Wednesday, May 29th, 2024

Time: 10:00 am

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



Market basket analysis is a technique in data analysis that harnesses data mining to discover relationships between different data points. It is often used to deduce frequently purchased items to inform business decisions better and targeted marketing (recommendation systems). The k-means technique is a very popular data clustering technique with many applications in market segmentation and market basket analysis.


Workshop Outline:

The workshop focuses on applying the k-means clustering technique to group data points into clusters and applying the Dunn index to improve the clustering quality.



Data analysis, basic statistics



Dr. Prashanth C. Ranga is an Assistant Professor at the School of Computer Science, University of Windsor. His teaching and research interests include - Systems Programming, Operating Systems, Database Design, High-Performance Computing and Design and Analysis of Algorithms

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