Anomaly Detection

By www - 2020-10-30

Description

How would you go about an Unsupervised Anomaly Detection problem?

Summary

  • Replies to This Discussion You can adopt this strategy by using the properties of PCA and classification.
  • 1.Easily isolate some individuals whose data appear to be outliers and may come from a measurement or input error ; 2.To select the most unusual individuals of a class, or on the opposite those who are close to a neighbouring class towards which they can move.

 

Topics

  1. Backend (0.15)
  2. Machine_Learning (0.08)
  3. Database (0.08)

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