#
ids2017
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This clustering based anomaly detection project implements unsupervised clustering algorithms on the NSL-KDD and IDS 2017 datasets
anacondaclusteringdatasetkmeans-clusteringlofanomaly-detectionf1-scoreids2017normalized-mutual-infonsl-kddisolation-forestmissing-valuesonehot-encoderdbscan-algorithmclustering-algorithmsmin-max-scalersimple-imputerscore-metrics
- Updated
Dec 5, 2019 - Jupyter Notebook
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