Fuzzy Clustering by Particle Swarm Optimization


This paper deals with fuzzy clustering by minimizing the fuzzy c-means (FCM) model. We introduce two new methods for minimizing the two reformulated versions of the FCM objective function by particle swarm optimization (PSO). In PSO-V each particle represents a component of a cluster center. In PSO-U each particle represents an unsealed and unnormalized… (More)
DOI: 10.1109/FUZZY.2006.1681773


Figures and Tables

Sorry, we couldn't extract any figures or tables for this paper.


Citations per Year

68 Citations

Semantic Scholar estimates that this publication has 68 citations based on the available data.

See our FAQ for additional information.

Slides referencing similar topics