Data Clustering Based On Chaotic Swarm Optimazation Algorithm

swarm intelligence algorithm which is one of the most recently introduced optimization algorithms. clustering analysis, used in many disciplines and applications, is an important tool and a descriptive task seeking to identify homogeneous groups of objects based on the values of their attributes. In this work, swarm intelligence algorithm based on chaos is used for data clustering on benchmark problems and the performance of swarm intelligence algorithm is compared with swarm intelligence algorithm and other nine classification techniques from the literature. Thirteen of typical test data sets from the UCI Machine Learning Repository are used to demonstrate the results of the techniques. The simulation results indicate that chaotic swarm intelligence algorithm algorithm can efficiently be used for multivariate data clustering

کلیدواژه ها:

Data Clustering ، Swarm Intelligence Algorithms ، Chaotic System