Image classification based on particle swarm optimization combined with K-means
Sheng Su · 2009
This paper proposes a new image classification algorithm of cluster analysis based on particle swarm optimization combined with K-means. The new image classification algorithm has been applied to MRI images to illustrate its applicability. The experimental results show that the proposed algorithm no t only avoids the local optima, but also has greater searching capability than particle swarm optimization.