Topological Data Analysis for Anomaly Detection

Contents:

  • 📖 Guidelines
  • 🧪 Tutorial
    • Learning on a modified Ornstein–Uhlenbeck process
    • Topological embedding of a multiple time series
    • Anomaly Detection based on topological features
  • 📚 Technical docs
  • 💡 Theory overview
  • 📑 References
  • 🔄 Changelog
  • 🔎 Tdaad package
Topological Data Analysis for Anomaly Detection
  • 🧪 Tutorial
  • View page source

🧪 Tutorial

  • Learning on a modified Ornstein–Uhlenbeck process
  • Topological embedding of a multiple time series
    • The persistence diagram transform
    • The sliding window algorithm
    • Vectorizing topological information
  • Anomaly Detection based on topological features
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