A Review of Clustering Technique Based on Different Optimization Function Using for Selection of Center Point

Abstract

The selection of center point is major issue in clustering technique. the center point of cluster decides the quality and validation of clustering technique. for the better selection of clustering technique used different optimization function such as genetic algorithm, particle swarm optimization algorithm and many more algorithm used for center selection process. In this paper present the review of clustering technique for automatic validation and cluster center selection. The process of clustering basically group the data based on feature attribute of data. the selection of features attribute of data based on the process of iteration.

Authors and Affiliations

Kavita Firke, Dinesh Kumar sahu

Keywords

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  • EP ID EP23205
  • DOI http://doi.org/10.22214/ijraset.2017.3008
  • Views 219
  • Downloads 6

How To Cite

Kavita Firke, Dinesh Kumar sahu (2017). A Review of Clustering Technique Based on Different Optimization Function Using for Selection of Center Point. International Journal for Research in Applied Science and Engineering Technology (IJRASET), 5(3), -. https://europub.co.uk/articles/-A-23205