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k-Means Clustering

Find threats without labels using unsupervised learning

0% · 0 of 4 steps completed · ~90 min · Detect network anomalies with K-Means clustering
1
Unsupervised Framing
Why labels are unavailable and what clustering finds
2
K-Means and Visualisation
Cluster assignment, PCA to 2D, colour-coded plots
3
Choosing K
Elbow method, silhouette score, picking the right K
4
Anomaly Scoring
Distance from centroid as an anomaly score