Saroj Bala - Academia.edu (original) (raw)
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Papers by Saroj Bala
International Journal of Computer Applications, 2012
Grouping different objects possessing inherent similarities in clusters has been addressed as the... more Grouping different objects possessing inherent similarities in clusters has been addressed as the clustering problem among researchers. The development of new metaheuristics has given another direction to data clustering research. Swarm intelligence technique using ant colony optimization provides clustering solutions based on brood sorting. After basic ant model of clustering, number of improvements has been proposed. But the ant clustering still suffers with low convergence. This paper presents a novel model of intelligent movement of ants including the negative pheromone and direction selection. Negative pheromone plays a role of barrier in the direction of empty area and direction selection avoids the calculations not contributing to the clustering process. Simulations have shown good results.
International Journal of Computer Applications, Dec 21, 2012
International Journal of Advanced Computer Science and Applications, 2012
Swarm intelligence is a collective effort of simple agents working locally but resulting in wonde... more Swarm intelligence is a collective effort of simple agents working locally but resulting in wonderful patterns. Labor division, decentralized control, stigmergy and self organization are the major components of swarm intelligence. Ant based clustering is inspired by brood sorting in ant colonies, an example of decentralized and self organized work. Stigmergy in ant colonies is via a chemical pheromone. This paper proposes a pheromone based ant clustering algorithm. In the proposed method, ant agents use pheromone to communicate the place to make the clusters, not the path as in real ants. The pheromone concentration helps to decide pick and drop of objects with less parameters and calculations. The simulations have shown good and dense cluster results.
International Journal of Computer Applications, 2012
Clustering is a data mining technique for the analysis of data in various areas such as pattern r... more Clustering is a data mining technique for the analysis of data in various areas such as pattern recognition, image processing, information science, bioinformatics etc. Hierarchical clustering techniques form the clusters based on top-down and bottom-up approaches. Hierarchical agglomerative clustering is a bottom-up clustering method. Ant based clustering methods form clusters by picking and dropping the objects according to surroundings. This paper proposes an agglomerative clustering algorithm, AGG_ANTS based on ant colonies. AGG_ANTS clusters the objects by moving ants on the grid and merging their loads according to similarity resulting in bigger clusters. It avoids the calculation of similarity in the surrounding and pick/drop of objects again and again resulting in a more efficient algorithm.
International Journal of Computer Applications, 2012
Grouping different objects possessing inherent similarities in clusters has been addressed as the... more Grouping different objects possessing inherent similarities in clusters has been addressed as the clustering problem among researchers. The development of new metaheuristics has given another direction to data clustering research. Swarm intelligence technique using ant colony optimization provides clustering solutions based on brood sorting. After basic ant model of clustering, number of improvements has been proposed. But the ant clustering still suffers with low convergence. This paper presents a novel model of intelligent movement of ants including the negative pheromone and direction selection. Negative pheromone plays a role of barrier in the direction of empty area and direction selection avoids the calculations not contributing to the clustering process. Simulations have shown good results.
International Journal of Computer Applications, Dec 21, 2012
International Journal of Advanced Computer Science and Applications, 2012
Swarm intelligence is a collective effort of simple agents working locally but resulting in wonde... more Swarm intelligence is a collective effort of simple agents working locally but resulting in wonderful patterns. Labor division, decentralized control, stigmergy and self organization are the major components of swarm intelligence. Ant based clustering is inspired by brood sorting in ant colonies, an example of decentralized and self organized work. Stigmergy in ant colonies is via a chemical pheromone. This paper proposes a pheromone based ant clustering algorithm. In the proposed method, ant agents use pheromone to communicate the place to make the clusters, not the path as in real ants. The pheromone concentration helps to decide pick and drop of objects with less parameters and calculations. The simulations have shown good and dense cluster results.
International Journal of Computer Applications, 2012
Clustering is a data mining technique for the analysis of data in various areas such as pattern r... more Clustering is a data mining technique for the analysis of data in various areas such as pattern recognition, image processing, information science, bioinformatics etc. Hierarchical clustering techniques form the clusters based on top-down and bottom-up approaches. Hierarchical agglomerative clustering is a bottom-up clustering method. Ant based clustering methods form clusters by picking and dropping the objects according to surroundings. This paper proposes an agglomerative clustering algorithm, AGG_ANTS based on ant colonies. AGG_ANTS clusters the objects by moving ants on the grid and merging their loads according to similarity resulting in bigger clusters. It avoids the calculation of similarity in the surrounding and pick/drop of objects again and again resulting in a more efficient algorithm.