Clustering Incomplete Data Using Kernel-Based Fuzzy C-means Algorithm
暂无分享,去创建一个
[1] W. Rudin. Principles of mathematical analysis , 1964 .
[2] Mark A. Girolami,et al. Mercer kernel-based clustering in feature space , 2002, IEEE Trans. Neural Networks.
[3] Anil K. Jain,et al. Algorithms for Clustering Data , 1988 .
[4] Daoqiang Zhang,et al. Fuzzy clustering using kernel method , 2002 .
[5] W. Peizhuang. Pattern Recognition with Fuzzy Objective Function Algorithms (James C. Bezdek) , 1983 .
[6] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.
[7] James C. Bezdek,et al. Fuzzy c-means clustering of incomplete data , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[8] Martin Schader,et al. Pyramidal classification based on incomplete dissimilarity data , 1994 .
[9] Gunnar Rätsch,et al. An introduction to kernel-based learning algorithms , 2001, IEEE Trans. Neural Networks.
[10] David E. Booth,et al. Analysis of Incomplete Multivariate Data , 2000, Technometrics.
[11] Z Li,et al. KERNEL CLUSTERING ALGORITHM , 2002 .
[12] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[13] Vladimir Vapnik,et al. Statistical learning theory , 1998 .
[14] James C. Bezdek,et al. Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm , 2002, Pattern Recognit. Lett..
[15] Miin-Shen Yang,et al. Alternative c-means clustering algorithms , 2002, Pattern Recognit..