Possibilistic C-Spherical Shell Clustering Algorithm Based on Conformal Geometric Algebra

摘要：

In this paper, a new Possibilistic C-Spherical Shell clustering (PCSS) algorithm based on conformal geometric algebra is proposed. The probability and simplicity of using the conformal geometric algebra to analyse spherical shell clustering algorithm is discussed firstly. By the conformal geometric algebra theory, patterns and prototypes in spherical shell clustering can be represented as vectors, then the objective function for clustering analysis can be expressed effectively, and a new solution to minimize the objective function is deduced. The experimental results show that the proposed algorithm can cluster the spherical shell data effectively, and is robust for noise.

关键词： conformal geometric algebra Possibilistic CSpherical Shell Clustering Pattern Recognition

作者: LI Maokuan GUAN Jian

作者单位: Department of Electronic and Information Engineering Naval Aeronautical and Astronautical University, Yantai Shandong 264001, P.R.China

会议类型: 国际会议

会议名称: 2010 IEEE 10th International Conference on Signal Processing(第十届信号处理国际会议 ICSP 2010)

会议地点: 北京

会议语种:英文

页码: 1347-1350

在线出版日期: 2010-08-24（万方平台首次上网日期，不代表论文的发表时间）