Utilization of K-NN Algorithm for Expectation Maximization Based Classification Method

Aci M., Inan C., Avci M.

4th International IEEE Conference Intelligent Systems, Varna, Bulgaria, 6 - 08 September 2008, pp.786-788 identifier identifier

  • Publication Type: Conference Paper / Full Text
  • Volume:
  • Doi Number: 10.1109/is.2008.4670463
  • City: Varna
  • Country: Bulgaria
  • Page Numbers: pp.786-788
  • Çukurova University Affiliated: Yes

Abstract

K Nearest Neighbor and Bayesian algorithms are effective methods of machine learning. In this work a data elimination approach is proposed to improve data clustering. The proposed method is based on hybridization of K Nearest Neighbor and Bayesian learning algorithms. The suggested method is tested on well-known machine learning data sets such as Iris, Wine and Breast Cancer and the results are concluded.