Abstract
In this growing informative world, in every domain, we can get a large amount of raw data, so it is a huge task to find proper and valid information from it. For this task, it is required to categorize data into different groups of similar behaviors. Over the years many authors have provided different techniques for clustering. Again, environment, domain, and applications are changing rapidly in different organizations, keeping this in mind many researchers are still modifying or developing new clustering algorithms. Now it is important to select or develop a proper clustering algorithm suitable for us. In this paper, we have tried to present some recent clustering algorithms. We have mainly focused on bioinspired optimization algorithms for the clustering problem. Later in the paper, we have also given a comparative study. This can help in selecting the proper clustering algorithm for the required domain.
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Sahoo, S.K., Pattanaik, P. (2021). A Survey on Clustering Algorithms Based on Bioinspired Optimization Techniques. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 194. Springer, Singapore. https://doi.org/10.1007/978-981-15-5971-6_48
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DOI: https://doi.org/10.1007/978-981-15-5971-6_48
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