1- Alaa Hossam
2- Mohammad Helaly
Networks Anomaly Detection using Supervised learning Algorithms such as Kmeans implementation , Spectral clustering implementation, DBMS implementation and Agglomerative Hierarchical Clustering
Networks Anomaly Detection using Supervised learning Algorithms such as Kmeans implementation , Spectral clustering implementation, DBMS implementation and Agglomerative Hierarchical Clustering. We also used external and internal measures to evaluate the clustering such as F1-score, purity, precision, recall and pairwise measures.
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Networks Anomaly Detection using Supervised learning Algorithms such as Kmeans implementation , Spectral clustering implementation, DBMS implementation and Agglomerative Hierarchical Clustering. We also used external and internal measures to evaluate the clustering such as F1-score, purity, precision, recall and pairwise measures.
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