Fuzzy-rough Set Nearest Neighbor Algorithm Based on EM
LU Bing-yuan · Jisuanji gongcheng · 2010
For fuzzy-uncertainty with class overlap and rough-uncertainty with lack of features,this paper proposes a fuzzy-rough nearest neighbor clustering classification algorithm based on Expectation-Maximization(EM),named EM-FRNN.Through the experments with UCI emergency water pollution cases database,compared with the classic algorithms,such as KNN,FKNN,FRNN,EM-FRNN algorithm improves classification precise and reduces computation.