Illustration of K Mean Clustering Algorithm for Analysing Laptop Utilization Dataset

Authors

  • Praba VL Department of Computer Science Rani Anna Government College for Women, Tirunelveli, India
  • Banu MA Department of Computer Science Rani Anna Government College for Women, Tirunelveli, India

Keywords:

Simple K-Mean Clustering, Centroids, Clusters, WEKA tool

Abstract

Laptops finds wide application in different fields by different users. School and College students are provided with Laptops freely distributed by the Government. These laptops are used by the students for various purposes like academic, programming, writing, editing documents, etc. To carry out the task of analysing the Laptop utilization characteristics, data has been collected from college students by supplying questionnaires. This paper examines student‘s perceptions related to the usage of laptop by analyzing its utilization characteristics using Simple K-Means clustering algorithm.

References

[1] Amir Ahamad, Lipika Dey, “A K-Mean clustering algorithm for mixed numerical and categorical data”, Data & Knowledge Engineering, pp 503-527, Vol.63, Iss. 2, November 2007.

[2] Saroj, Kavitha, “Study on Simple k Mean and Modified k Mean Clustering Technique”, IJCSET, (279-281) Vol. 6- No.7, July 2016.

[3] Richa Agarwal, Jitendra Agarwal, “Analysis of Clustering Algorithm of WEKA Tool on Air Pollution Dataset”, International Journal of Computer Applications, (0975-8887) Vol. 168- No.13, June 2017.

[4] Bharat Chaudhari, Manan Parikh, “A Comparative Study of Clustering algorithms Using WEKA tools”, International Journal of Application or Innovation in Engineering & Management (IJAIEM), (2319-4847) Vol. 1- No.2, October 2012.

[5] Harjot Kaur, Er. Prince Verma, “Comparative WEKA Analysis of Clustering Algorithm’s”, I.J. Information Technology and Computer Science, (56-67) No.8, August 2017.

[6] Akanksha Mahajan, Er. Neena Madan, “Survey of K means Clustering and Hierarchical Clustering for Road Accident Analysis”, International Reearch Journal of Engineering and Technology, (2395-0056) Vol. 4- No.6, June 2017.

[7] G. Shiyamala Gowri, Ramasamy Thulasiram and Mahindra Amit Baburao, “Academical Data Mining Application for Estimating Students Performance in WEKA Environment”, ICSET, Vol. 14, 2017.

[8] Jiawei Han, Micheline Kamber, Jian Pei, “Data Mining Concepts and Techniques”, 3rd Edition.

Downloads

Published

2025-11-25

How to Cite

[1]
V. L. Praba and M. S. Banu, “Illustration of K Mean Clustering Algorithm for Analysing Laptop Utilization Dataset”, Int. J. Comp. Sci. Eng., vol. 7, no. 8, pp. 61–65, Nov. 2025.

Issue

Vol. 7 No. 8 (2019): IJCSE Special Issue April Edition

Section

Research Article

License

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Authors contributing to this journal agree to publish their articles under the Creative Commons Attribution 4.0 International License, allowing third parties to share their work (copy, distribute, transmit) and to adapt it, under the condition that the authors are given credit and that in the event of reuse or distribution, the terms of this license are made clear.