Efficient mixed clustering algorithm and its application in anomaly detection

Xuegang Hu · Journal of Computer Applications · 2010

High efficiency of the clustering algorithm is the key when it is applied to anomaly detection.In order to improve the anomaly detection,this paper advanced a new clustering algorithm that deals with the network data partially by real-time processing,improving and integrating the DBSCAN algorithm and K-means algorithm.It is proved by experiments that the new algorithm can improve the detection rate,reduce the false positive rate,and enhance the real-time responding ability of the system.

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