例如主机的检测需要对多个参数进行分析，但是大部分数据都是高维的，且这些

For example, the detection of a host needs to analyze multiple parameters, but most of the data is high-dimensional, and these data will definitely cause a dimensional disaster, increasing the complexity and timeliness of the entire system. The information flow must be optimized before the information flow is detected, which can effectively reduce the computational difficulty and complexity of the entire algorithm

For example, host detection requires analysis of multiple parameters, but most of the data is high-dimensional, and the data is bound to cause dimensional disasters, increasing the complexity and time-ability of the entire system. The information flow must be optimized before it can be detected, which can effectively reduce the calculation difficulty and complexity of the whole algorithm

For example, the host detection needs to analyze multiple parameters, but most of the data are high-dimensional, and these data will certainly cause the disaster of dimension, increase the complexity and timeliness of the whole system. Before information flow detection, information flow must be optimized, which can effectively reduce the computational difficulty and complexity of the whole algorithm<br>