Evaluation of the intelligent hybrid methods to improve the performance of K-Means and C-Means algorithms

Authors

  • Behzad Radmehr
  • Reza Ghaemi

Keywords:

Data Mining, Cluster Analysis, Hybrid Intelligant Methods, K-Means Algorithm, C-Means Algorithm, Neural Networks, Fuzzy Algorithms, Evolution Algorithms

Abstract

In this paper , The intelligent hybrid methods are used for improving the performance of K-means and C-means algorithms. . To achieve this, these methods are explained in order to improve the performance of these two data mining algorithms. Some suggestions are provided for this aim. The methods used for explaining in relation to C-means algorithms are fuzzy C-means algorithm, combination of fuzzy markov model with evolution algorithms, combination of neural network with C-means algorighm

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Published

2015-12-30

Issue

Vol. 2 No. 2 (2015)

Section

Articles

How to Cite

Radmehr, B., & Ghaemi, R. (2015). Evaluation of the intelligent hybrid methods to improve the performance of K-Means and C-Means algorithms. International Academic Journal of Science and Engineering, 2(2), 9-22. https://iaiest.com/iaj/index.php/IAJSE/article/view/1284