Utilization of K-NN algorithm for expectation maximization based classification method

2008 4th International IEEE Conference Intelligent Systems, IS 2008 --6 September 2008 through 8 September 2008 -- Varna --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. © 2008 IEEE