Fuzzy K-NN algorithm using modified K-selection
Y.K. Kim, J.H. Han · 2002
In this paper, a new K selection method in fuzzy K-NN (nearest-neighbor) algorithm, called the "updated fuzzy K-NN", is proposed. The main idea of this method is in the selection of K neighbors by considering the distance difference and the membership grade each neighbor has. The classification results of 32 classes of complex images are given. Compared to K-NN, and fuzzy K-NN algorithm, our method showed improved classification rate.>