IGA-FCM double groups parallel clustering algorithm

Author

Liu, Sheng ; Zhao, Hong

Author_Institution

Coll. of Autom., Harbin Eng. Univ., Harbin

fYear

2008

fDate

1-3 Sept. 2008

Firstpage

13

Lastpage

17

Abstract

The parallel genetic algorithm (PGA) realizes converging rate greatly as a result of fully displaying the natural parallelism of GA. This paper is just about applying this idea to fuzzy c-mean clustering, introducing immunity density adjustment mechanism, and proposing a new FCM clustering method - IGA-FCM double groups parallel clustering algorithm (another form of PGA). In order to realize the algorithm, this paper especially designs an extra link - communication and control mechanism (CACM) to communicate and control the flow and cut-off time of whole algorithm. Finally, its superiority is demonstrated through the Matlab simulation and comparison.

Keywords

fuzzy set theory; genetic algorithms; pattern clustering; fuzzy c-mean clustering; immunity density adjustment mechanism; parallel clustering algorithm; parallel genetic algorithm; Automation; Clustering algorithms; Communication system control; Convergence; Electronics packaging; Fuzzy control; Genetic algorithms; Immune system; Neural networks; Parallel processing; Communication and control; FCM clustering; IGA-FCM double groups parallel; Information transmission;

fLanguage

English

Publisher

ieee

Conference_Titel

Automation and Logistics, 2008. ICAL 2008. IEEE International Conference on

Conference_Location

Qingdao

Print_ISBN

978-1-4244-2502-0

Electronic_ISBN

978-1-4244-2503-7

Type

conf

DOI

10.1109/ICAL.2008.4636111

Filename

4636111