On the algorithm of fuzzy dynamic growth and delete self-organizing maps

Focusing on the application of mixed data fuzzy clustering in network monitoring, based on a dynamic growth and delete self-organizing maps model (DGDSOM), an algorithm of fuzzy dynamic growth and delete self-organizing maps (FDGDSOM) is proposed. This algorithm introduces the triggering system and designs the triggering module, and makes the intelligent judgment and decision according to the real-time network activities. The experimental results in the real network show that the trigger monitoring has high accuracy on the users acts , and the proposed model and algorithm can process, statistic and classify mixed data, dynamically generate and delete clustering node, and get more optimized results using less iteration.