Dunn Index and Data Segmentation using K-Means
Presenter: Dr. Prashanth C. Ranga
Date: Thursday, June 26th, 2025
Time: 3:00 pm
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 a wide range of applications in market segmentation and market basket analysis.
The workshop focuses on the application of the k-means clustering technique to group data points into clusters, together with the application of the Dunn index to improve the quality of clustering.
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.