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.