An enhanced human learning optimisation algorithm for effective data clustering
by Jigyasa Goyal; Yugal Kumar; Pardeep Kumar; Arvinder Kaur
International Journal of Grid and Utility Computing (IJGUC), Vol. 15, No. 2, 2024

Abstract: Clustering arranges the data objects into clusters and similar data objects put into same cluster. There is not a single algorithm that can work effectively with all types of clustering problems. Other side, quality of clusters is also an important issue for clustering algorithms. This work deals with aforementioned issues and presents a new clustering algorithm-based human learning optimisation. Several modifications are incorporated into HLO algorithm for alleviating similar ability of individual learning and control parameter issues, called enhanced HLO (EHLO). The similar learning ability of individuals can be enhanced based on learner phase of TLBO algorithm. The control parameter issue of random learning is resolved through logistic chaotic map. The well-known clustering data sets are chosen for conducting the experiments and results are compared to eight state-of-the-art clustering algorithms based on several performance metrics. The results showed that EHLO obtains superior clustering results than other algorithms. The performance is also assessed through Friedman statistical test and it is followed by a post-hoc test. Results indicated that the proposed EHLO algorithm obtains an average rank of 1.29 compared to other algorithms, the p-value (3.71E-04) and the critical value (16.919). Hence, the proposed EHLO is validated through experimental and statistical results.

Online publication date: Mon, 08-Apr-2024

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Grid and Utility Computing (IJGUC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com