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

Aci M., Inan C., Avci M.

4th International IEEE Conference Intelligent Systems, Varna, Bulgaristan, 6 - 08 Eylül 2008, ss.786-788, (Tam Metin Bildiri)

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/is.2008.4670463
  • Basıldığı Şehir: Varna
  • Basıldığı Ülke: Bulgaristan
  • Sayfa Sayıları: ss.786-788
  • Çukurova Üniversitesi Adresli: Evet

Özet

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.