A fuzzy c-means clustering algorithm based on nearest-neighbor intervals for incomplete data
暂无分享,去创建一个
Hong Gu | Dan Li | Liyong Zhang | Hong Gu | Dan Li | Liyong Zhang
[1] Edgar Acuña,et al. The Treatment of Missing Values and its Effect on Classifier Accuracy , 2004 .
[2] James C. Bezdek,et al. Fuzzy c-means clustering of incomplete data , 2001, IEEE Trans. Syst. Man Cybern. Part B.
[3] Qiuming Zhu,et al. A pseudo-nearest-neighbor approach for missing data recovery on Gaussian random data sets , 2002, Pattern Recognit. Lett..
[4] Catherine Blake,et al. UCI Repository of machine learning databases , 1998 .
[5] D. Rubin,et al. Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .
[6] Hidetomo Ichihashi,et al. Linear fuzzy clustering techniques with missing values and their application to local principal component analysis , 2004, IEEE Transactions on Fuzzy Systems.
[7] Fan Zhi-ping. A FCM clustering algorithm for multiple attribute information with interval numbers , 2004 .
[8] James C. Bezdek,et al. Optimization of clustering criteria by reformulation , 1995, IEEE Trans. Fuzzy Syst..
[9] Chi-Chun Huang,et al. A novel gray-based reduced NN classification method , 2006, Pattern Recognit..
[10] James C. Bezdek,et al. Clustering incomplete relational data using the non-Euclidean relational fuzzy c-means algorithm , 2002, Pattern Recognit. Lett..
[11] Geoffrey J. McLachlan,et al. Mixture models : inference and applications to clustering , 1989 .
[12] Rajesh N. Davé,et al. Generalized fuzzy c-shells clustering and detection of circular and elliptical boundaries , 1992, Pattern Recognit..
[13] Heiko Timm,et al. Different approaches to fuzzy clustering of incomplete datasets , 2004, Int. J. Approx. Reason..
[14] James C. Bezdek,et al. Pattern Recognition with Fuzzy Objective Function Algorithms , 1981, Advanced Applications in Pattern Recognition.