Classification and Discriminant Analysis: Difference between revisions

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====Model Analysis and Calculation Utilities====
'''Model Analysis and Calculation Utilities'''
:[[class2logical]] - Create a PLSDA logical block from class assignments.
:[[class2logical]] - Create a PLSDA logical block from class assignments.
:[[discrimprob]] - Discriminate probabilities for continuous predicted values.
:[[discrimprob]] - Discriminate probabilities for continuous predicted values.

Revision as of 14:21, 4 September 2008

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 Qualitative Exploratory Analysis and Classification)