中文说明：
kmeans均值聚类算法:一种改进的基于半监督聚类的入侵检测算法ASCID（
主动学习半监督聚类入侵检测（k）利用kdd99数据集对kmeans聚类算法进行了仿真，实验结果表明，ASCID算法能够提高算法的检测率，降低误报率，验证了算法的可行性和有效性
English Description：
Kmeans mean clustering algorithm: an improved intrusion detection algorithm based on semi supervised clustering ascid (< / P > < p > active learning semi supervised clustering intrusion detection (k) simulates the kmeans clustering algorithm using KDD99 data set. The experimental results show that ascid algorithm can improve the detection rate of the algorithm and reduce the false positive rate, which verifies the feasibility and effectiveness of the algorithm