Classification and Discriminant Analysis

From Eigenvector Research Documentation Wiki
Jump to navigation Jump to search

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.
lda - Linear Discriminant Analysis.
plsda - Partial least squares discriminant analysis.
lregda - Predictions based on Logistic Regression (LREGDA) classification models.
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)