Improvement of rough fuzzy and fuzzy rough clustering algorithm
Tian Dazen · Computer Engineering and Applications Journal · 2014
The shortcomings of the original clustering methods are analyzed. Moreover, the rough theory and fuzzy theory are combined together. The improvement of rough fuzzy K-means clustering algorithm is given. A fuzzy rough K-means clustering algorithm is designed, and the validity of fuzzy rough K-means clustering algorithm is verified. The proposed clustering algorithms are applied to support vector machine. In the above applications, the training samples are pre-processed to reduce the number of samples and improve the training speed and the classification accuracy.