GA-PSO Based Clustering Algorithm For Multi View Data: A Survey

Authors

  • Patel A Department of Computer Science & Engg, Shri Ram Institute of Science and Technology, Jabalpur, India
  • Mudgil S Department of Information Technology, Kalaniketan Polytechnic College, Jabalpur, India

Keywords:

Data Mining, Clustering, Optimized Algorithm, PSO, GA

Abstract

Data mining an non-trivial extraction of novel, implicit, and actionable knowledge from large data sets is an evolving technology which is a direct result of the increasing use of computer databases in order to store and retrieve information effectively. This paper gives an idea of optimization algorithm by which the efficient result can be fetched. Optimization is a dire need for a huge amount of data processing. So that optimization is a challenging issue in data mining. It seems to be that there are many different approaches has been proposed by authors in order to optimize the results. Partial swam optimization and genetic algorithms are some sort of approach which can be used for optimization.

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Published

2025-11-25

How to Cite

[1]
A. Patel and S. Mudgil, “GA-PSO Based Clustering Algorithm For Multi View Data: A Survey”, Int. J. Comp. Sci. Eng., vol. 7, no. 10, pp. 101–106, Nov. 2025.