International Journal of Statistics and Applied Mathematics
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International Journal of Statistics and Applied Mathematics

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: 15 | Downloads: 1

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How 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.
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