OWA aggregation based CxK-nearest neighbor classification algorithm

Ulutagay G., Nasibov E.

2012 6th IEEE International Conference Intelligent Systems, IS 2012, Sofija, Bulgaristan, 6 - 08 Eylül 2012, ss.219-224 identifier

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Cilt numarası:
  • Doi Numarası: 10.1109/is.2012.6335139
  • Basıldığı Şehir: Sofija
  • Basıldığı Ülke: Bulgaristan
  • Sayfa Sayıları: ss.219-224
  • Anahtar Kelimeler: classification, CxK nearest neighbor, K nearest neighbor, OWA distance
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

A new OWA (Ordered Weighted Averaging) distance based CxK-nearest neighbor algorithm (CxK-NN) is proposed. In this approach, K-nearest neighbors from each of the classes are taken into account instead of the well-known K-nearest neighbor (K-NN) algorithm in which only the total number, K of neighbors are considered. Distance between the classified point and its K-nearest set is determined based on the OWA operator. After experiments with well-known classification datasets, we conclude that average accuracy results of the OWA distance-based CxK-NN algorithm are better than that of K-NN and weighted K-NN algorithms. © 2012 IEEE.