Title :
Study on a New RPCCL Clustering Algorithm
Author :
Chen, Sanfeng ; Mei, Tao ; Luo, Minzhou ; Liang, Huawei
Author_Institution :
Chinese Acad. of Sci. Hefei, Hefei
Abstract :
Based on further study on the existing RPCCL (rival penalized controlled competitive learning) algorithms and discovering some drawbacks, a new advanced RPCCL clustering algorithm is proposed. The new algorithm initializes the clustering centers according to the density of sample points, and the weights are updated according to the location of input data. The simulation results show that the new advanced algorithm can perform clustering more accurately and rapidly.
Keywords :
learning (artificial intelligence); pattern clustering; statistical analysis; RPCCL clustering algorithm; clustering centers; rival penalized controlled competitive learning algorithms; Automation; Biomimetics; Clustering algorithms; Competitive intelligence; Image analysis; Information analysis; Learning systems; Machine learning; Mechatronics; Pattern analysis; RPCCL algorithm; clustering; sample density;
Conference_Titel :
Mechatronics and Automation, 2007. ICMA 2007. International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-0828-3
Electronic_ISBN :
978-1-4244-0828-3
DOI :
10.1109/ICMA.2007.4303558
