This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
anaconda clustering dataset kmeans-clustering lof anomaly-detection f1-score ids2017 normalized-mutual-info nsl-kdd isolation-forest missing-values onehot-encoder dbscan-algorithm clustering-algorithms min-max-scaler simple-imputer score-metrics
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Updated
Dec 5, 2019 - Jupyter Notebook