SCOUTer

Simulation of Controlled OUTliers https://www.sciencedirect.com/science/article/pii/S0169743921000691

https://github.com/albagc/SCOUTer

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Simulate Controlled OUTliers - SCOUTer

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(Matlab version)

SCOUTer is a set of functions that open the door towards a new way of simulating outliers. Using Principal Component Analysis (PCA) as a base model, SCOUTer enables the user to control exactly how the simulated outliers will be.

This is possible by controlling the pair of properties that define outliers: the Squared Prediction Error (SPE) and the Hotelling's T2. By setting the desired target values to these statistics, the user can obtain all types of outliers.

Control your simulations with SCOUTer in an easy and interactive way.

Type: 'help <function_name>' in Matlab command window to get more information about <function_name>.m. Check MatlabDocu.pdf with all the documentation about the functions in SCOUTer Matlab version.

For more info, check the reference: https://www.sciencedirect.com/science/article/pii/S0169743921000691

Enjoy!

Cite As

Alba GC (2026). SCOUTer (https://github.com/albagc/SCOUTer/releases/tag/v1.0), GitHub. Retrieved .

General Information

MATLAB Release Compatibility

  • Compatible with any release

Platform Compatibility

  • Windows
  • macOS
  • Linux
Version Published Release Notes Action
1.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.