Classification and Discriminant Analysis

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Revision as of 14:34, 4 September 2008 by imported>Jeremy
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These methods help separate samples into classes and develop models which can be used to predict which class a new sample belongs to.

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)