高功率微波(HPM)电磁脉冲对引信辐照实验的数据分析是研究其电磁效应中的一个重要问题，数据分析的主要困难在于HPM电磁效应数据的高维复杂性。通过聚类算法设计，采用模糊C均值聚类(FCM)算法对某无线电引信的高功率微波电磁效应数据进行分析处理，利用其类内相似和类间相异的原则，经迭代运算，实现HPM对无线电引信效应数据的脉宽、峰值功率、功率密度等参数间的识别和分类。结果表明：采用FCM算法能够得到HPM对某引信的最佳聚类中心，即致使引信失效的最佳干扰阈值，证明了算法的有效性。

Fuze irradiation experiment data analysis of high power microwave (HPM) electromagnetic pulse is an important problem of HPM electromagnetic effect. The high-dimensional complexity of HPM electromagnetic effect data is the main difficulty of data analysis. HPM electromagnetic effect data on a certain type of radio fuze is analyzed by the fuzzy C mean (FCM)clustering algorithm method, through the design of FCM clustering algorithm. The algorithm processes need several times of iterative computation with the principle of within class similarity and inter class differences .The optimal classification and the best cluster center of pulse width, peak power, power density of the high power microwave are both obtained. Experimental results show that the optimal clustering center of fuze under HPM, namely the best interference threshold causing fuzefailure can be obtained and the FCM algorithm is validity.