An Improved Ant Colony Clustering Algorithm in Data Mining

Cluster analysis is an important branch of data mining and it is a effective method to recognize the intrinsic link between the data. In the previous ant colony clustering algorithm ,the ant only as individuals in the space of mobile random, so that the random movement algorithm time complexity is relatively large and inefficient.This study provide a pheromone-based control strategy of ants moving.Ants communicate indirectly through communication and learning. Intelligent individual ants by leaving the information in the environment and modify the environment. The other ants through the indirect communication strategies to respond appropriately to the environment,thereby reducing the time complexity of the algorithm.