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