A Novel Clustering Algorithm Based-on Rotated Super-box
一种基于旋转最小-最大超盒的聚类算法

To resolve the problem that the traditional clustering algorithms cannot deal with the complicated data set, a novel clustering algorithm based\|on rotated super\|box is presented in this paper. This algorithm first uniforms the data set, then partitions the sample space with rotated super\|box to get a series of preliminary classes, finally fuses the preliminary classes with the fusible factors to form the clustering result. The simulation results show that this algorithm has better clustering performance than the traditional fuzzy C\|mean algorithm in dealing with the data set which has unknown pattern number and complicated distribution shapes.