Image Cluster Based On Precedence

Various Swarm Intelligence algorithms have been urbanized to solve Clustering difficulty has been approached from different disciplines. This paper introduces a new algorithm called Priority Based Pheromone Algorithm (PBPA) belongs to Ant colony System to give better optimal solution clustering. Concept of this algorithm is to built clusters using three potential values priority value, pheromone and heuristic information. This algorithm is compared with normal Ant colony algorithm, Genetic Algorithm and basic K-means algorithm. Comparison done by percentage of errors, best fitness(time efficiency) and maximum number of iterations. As compared with above said algorithms, proposed method shows better results. Clustering with swarm-based algorithms especially Ant colony algorithm is h application.