Discriminant Analysis Programme
The purpose of Discriminant Analysis Programme (DAP) is to facilitate discrimination and classification of (to be) grouped data with robust estimation- and modeled structures for the covariances in a one-go software. The robust estimation methods are the S-estimator and Donoho-Stahel estimator. The included covariance structure models are Common Principal Components, Proportional, classical Quadratic and Linear ones; Hypothesis Testing is performed for these fitted models except for arbitrary covariances. The Discriminant Rules are found and the Classification Rules Coefficients are computed after the given training data sample and used to classify the classification sample data, if provided. They are also used to find malclassified data elements by Cross-Validation (Leave-One-Out) method of the training sample, being recomputed for each element.
It includes complementary graphical outputs for bivariate data such as normality plots and group separation.
Cite As
Bartolomeu Rabacal (2024). Discriminant Analysis Programme (https://www.mathworks.com/matlabcentral/fileexchange/21215-discriminant-analysis-programme), MATLAB Central File Exchange. Retrieved .
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Discriminant Analysis Programme/
Discriminant Analysis Programme/Covariance Models/
Discriminant Analysis Programme/Discrimination/Error Rates/
Discriminant Analysis Programme/Discrimination/Rules/
Discriminant Analysis Programme/Donoho-Stahel Estimator/
Discriminant Analysis Programme/F-G Algorithm/
Discriminant Analysis Programme/Plot/
Discriminant Analysis Programme/S-estimator/
Version | Published | Release Notes | |
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1.4.0.0 | The added Discriminant Regions are defined by Separatory Hyperplanes or Hypersurfaces computed by the Discriminant Rules Coefficients. The old Discriminant Rules are now the Classification ones. Improved/corrected graphical plot headers. |
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1.0.0.0 |