/network-anomaly-detection

An attempt at the network anomaly detection task using manually implemented k-means, spectral clustering and DBSCAN algorithms, with manually implemented evaluation metrics (precision, recall, f1-score and conditional entropy) used to evaluate these algorithms.

Primary LanguageJupyter NotebookMIT LicenseMIT

No issues in this repository yet.