Classification and Discriminant Analysis
From Eigenvector Documentation Wiki
These methods help separate samples into classes and develop models which can be used to predict which class a new sample belongs to.
Top-Level Classification / Discriminant Analysis Tools
- analysis - Graphical user interface for data analysis.
- simca - Soft Independent Method of Class Analogy.
- plsda - Partial least squares discriminant analysis.
- knn - K-nearest neighbor classifier.
Model Analysis and Calculation Utilities
- class2logical - Create a PLSDA logical block from class assignments.
- discrimprob - Discriminate probabilities for continuous predicted values.
- plsdaroc - Calculate and display ROC curves for PLSDA model.
- plsdthres - Bayesian threshold determination for PLS Discriminate Analysis.
(Sub topic of PLS_Toolbox_Topics)