Fuzzy clustering algorithm modelling of data stream mining based on particle swarm optimization and GA

摘要

Fuzzy clustering algorithm modelling of the data stream mining based on particle swarm optimization and GA is designed and implemented in this manuscript. In the intelligent optimization algorithm, the novel particle swarm optimization algorithm does not require any derivation of the solution function, and can overcome the complexity of the traditional optimization algorithm in the calculation and the disadvantages of the remaining optimization. In this regard, the GA model has been applied to enhance the training process of PSO. The data stream is selected as the experimental scenario to validate the model. The fuzzy model with the clustering analysis is combined for the optimal analysis. The robustness of the framework is tested.