Classification and Discriminant Analysis

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.

knn - K-nearest neighbor classifier.

plsda - Partial least squares discriminant analysis.

simca - Soft Independent Method of Class Analogy.

svmda - SVM Support Vector Machine for classification.

Model Analysis and Calculation Utilities

confusionmatrix - Create a confusion matrix.

confusiontable - Create a confusion table.

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)