2021, Vol. 6, Issue 5, Part B
Genetic algorithm based clustering methods: A review
Author(s): Nisha Sumbherwal and BK Hooda
Abstract: The paper presents the review on GA based clustering techniques. Clustering is widely used in different field such as biology, engineering, text mining, bioinformatics, and agriculture. To enhance the performance of clustering algorithms, Genetic Algorithms (GAs) is applied to the clustering algorithm. Genetic Algorithms are the best known evolutionary techniques which gives near global or global optimal solution for a given fitness function. The capability of GAs is applied to evolve the proper number of clusters and to provide appropriate clustering.
Pages: 151-154 | Views: 402 | Downloads: 8Download Full Article: Click HereHow to cite this article:
Nisha Sumbherwal, BK Hooda. Genetic algorithm based clustering methods: A review. Int J Stat Appl Math 2021;6(5):151-154.
