Evaluating student’s performance using k- mean clustering
No Thumbnail Available
Date
2024-10-28
Authors
Shahid Eqbal
Ayush Singh
Balkrishna Pandey
Deepa Singh
Journal Title
Journal ISSN
Volume Title
Publisher
MIRG
Abstract
The analysis and evaluation of a student's academic achievement are now difficult tasks for the academic community to do. Classifying student achievement is a difficult scientific task in the actual world. Thus, a system to evaluate students’ performance utilizing a deterministic model and the k-means clustering algorithm is described in this study. The analysis findings will help academic planners determine how well students performed over a particular semester and what initiatives they need to take to raise students’ performance.
Description
Keywords
Citation
Shahid E., Ayush S., Balkrishna P. & Deepa S. (2023). “Evaluating student’s performance using k- mean clustering". In Proceedings of the International Conference on Artificial Intelligence and Robotics (MIRG-ICAIR 2023), pp. 127-132, MIRG