本人的期刊论文,研究蚁群聚类算法与遗传算法的融合,实践证明效果显著-my journal articles, research Ant clustering algorithm and genetic algorithm integration, and practice has proven remarkably

Focused on the disadvantage of classical Euclidian distance in data clustering analysis, we propose an improved distance calculation formula, which describes the local compactness and global connectivity between data points. Furthermore, we i

A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl

This paper tell about hybrid ant colony- kmeans algorithms. Clustered by ant colony is used for initial cluster for kmean algorithm.