DocumentCode
3401432
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
fYear
2007
fDate
5-8 Aug. 2007
Firstpage
299
Lastpage
303
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICMA.2007.4303558
Filename
4303558
Link To Document