Identify the application of the outlier detection method.
Answers
Answer:
Some of the most popular methods for outlier detection are: Z-Score or Extreme Value Analysis (parametric) Probabilistic and Statistical Modeling (parametric) Linear Regression Models (PCA, LMS) Proximity Based Models (non-parametric) Information Theory Models.
military surveillance for enemy activities to prevent attacks
intrusion detection in cyber security
Explanation:
Outlier detection is extensively used in a wide variety of applications such as intrusion detection in cyber security and fault detection in safety critical systems and in various kind of images.
Some of the most popular methods for outlier detection are: Z-Score or Extreme Value Analysis (parametric) Probabilistic and Statistical Modeling (parametric)
#Learn more:
How can the uni variate outlier detection methods be extended to handle multivariate data?
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