Pratik Jain

Performance Comparison of K-Means and Expectation-Maximization Clustering Algorithms for Network Intrusion Detection

The present study outlines the comparative analysis of K-Means and Expectation-Maximization clustering algorithms towards network intrusion detection through applying on the KDD Cup 1999 benchmark dataset, thus providing a guide for an appropriate clustering technique for large networks information security system.