A Novel Intelligent Hybrid Fuzzy Method for K-Means Algorithm

Authors

  • Behzad Radmehr
  • Reza Ghaemi
  • Seyyed Majid Mazinani

Keywords:

Intelligent Hybrid Fuzzy Methods, Machine Learning, Clustering Mechanism, K-Means Algorithm, Fuzzy C-Means Algorithm, Accuracy

Abstract

In this study, we want to focus on intelligent hybrid fuzzy methods for K-Means algorithm and we want to present a fuzzy model for this algorithm. This method is combined with other methods in order to improve the clustering mechanism. All kinds of hybrid fuzzy methods is helped to improve the performance of K-Means algorithm. We hope that, this paper is useful for the researchers work in machine learning scope

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Published

2017-12-30

Issue

Vol. 4 No. 2 (2017)

Section

Articles

How to Cite

Radmehr, B., Ghaemi, R., & Mazinani, S. M. (2017). A Novel Intelligent Hybrid Fuzzy Method for K-Means Algorithm. International Academic Journal of Science and Engineering, 4(2), 242-247. https://iaiest.com/iaj/index.php/IAJSE/article/view/IAJSE1710043