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spectral-clustering-algorithm

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An attempt at the network anomaly detection task using manually implemented k-means, spectral clustering and DBSCAN algorithms, with manually implemented evaluation metrics (precision, recall, f1-score and conditional entropy) used to evaluate these algorithms.

  • Updated Mar 13, 2024
  • Jupyter Notebook

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