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)
Abstract:
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.
Prerequisites:
Data analysis, basic statistics
Biography:
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