An image segmentation method based on dynamic artificial fish swarm algorithm

This paper proposes a novel intelligence clustering algorithm, called a dynamic artificial fish swarm clustering algorithm (DAFS), which is based on the concept and principles of fish´s behaviors. Our algorithm can automatically clustering a data set into clusters without the need to know the number of clusters in advance. A dynamic identification of the niches is performed at each generation to automatically evolve the optimal number of clusters as well as the cluster centers of the data set. After getting the niches of the population, species conservation is used to identify the real niches. The experimental results show that DAFS algorithm has high performance, effectiveness and flexibility.