DocumentCode
3482464
Title
Fuzzy K-NN algorithm using modified K-selection
Author
Kim, Yoon K. ; Han, Joon H.
Author_Institution
Dept. of Comput. Sci., Pohang Inst. of Sci. & Technol., South Korea
Volume
3
fYear
1995
fDate
20-24 Mar 1995
Firstpage
1673
Abstract
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
Keywords
fuzzy set theory; image classification; complex images; distance difference; image classification; membership grade; modified K-selection; updated fuzzy K-NN algorithm; Decision theory; Feature extraction; Humans; Nearest neighbor searches; Neural networks; Pixel;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1995. International Joint Conference of the Fourth IEEE International Conference on Fuzzy Systems and The Second International Fuzzy Engineering Symposium., Proceedings of 1995 IEEE Int
Conference_Location
Yokohama
Print_ISBN
0-7803-2461-7
Type
conf
DOI
10.1109/FUZZY.1995.409901
Filename
409901
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