ids2017

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jeremy191 / clustering-based-anomaly-detection
This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
nsl-kdd dbscan-algorithm clustering clustering-algorithms lof dataset isolation-forest anaconda kmeans-clustering f1-score min-max-scaler onehot-encoder ids2017 missing-values simple-imputer normalized-mutual-info anomaly-detection score-metrics
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