Version 1
: Received: 24 May 2024 / Approved: 24 May 2024 / Online: 27 May 2024 (10:05:29 CEST)
How to cite:
Kouser, K.; Priyam, A.; Gupta, M.; Kumar, S.; BHATTACHARJEE, V. Genetic Algorithm based optimization of Clustering Algorithms for the Healthy Aging Dataset. Preprints2024, 2024051663. https://doi.org/10.20944/preprints202405.1663.v1
Kouser, K.; Priyam, A.; Gupta, M.; Kumar, S.; BHATTACHARJEE, V. Genetic Algorithm based optimization of Clustering Algorithms for the Healthy Aging Dataset. Preprints 2024, 2024051663. https://doi.org/10.20944/preprints202405.1663.v1
Kouser, K.; Priyam, A.; Gupta, M.; Kumar, S.; BHATTACHARJEE, V. Genetic Algorithm based optimization of Clustering Algorithms for the Healthy Aging Dataset. Preprints2024, 2024051663. https://doi.org/10.20944/preprints202405.1663.v1
APA Style
Kouser, K., Priyam, A., Gupta, M., Kumar, S., & BHATTACHARJEE, V. (2024). Genetic Algorithm based optimization of Clustering Algorithms for the Healthy Aging Dataset. Preprints. https://doi.org/10.20944/preprints202405.1663.v1
Chicago/Turabian Style
Kouser, K., Sanjay Kumar and VANDANA BHATTACHARJEE. 2024 "Genetic Algorithm based optimization of Clustering Algorithms for the Healthy Aging Dataset" Preprints. https://doi.org/10.20944/preprints202405.1663.v1
Abstract
Clustering is a crucial at the same time challenging task in several application domains. It is important to incorporate the optimum feature finding into our clustering algorithms for getting better prediction accuracy but this is difficult when there is no or little information about the importance or relevance of features. To tackle this task in an efficient manner we employ the natural evolution process inherent in genetic algorithms (GA) to find the optimum features for clustering for the healthy aging dataset. In order to empirically verify the findings, genetic algorithms were combined with a number of clustering algorithms including parti-tional, density based as well as agglomerative. A variant of the popular KMeans algorithm, named KMeans++ gave the best performance on all performance metrics when combined with GA.
Computer Science and Mathematics, Artificial Intelligence and Machine Learning
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
