ITK  5.2.0
Insight Toolkit
Examples/Statistics/MinimumDecisionRule.cxx
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* Copyright NumFOCUS
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* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
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// Software Guide : BeginLatex
//
// \index{itk::Statistics::MinimumDecisionRule}
//
// The \code{Evaluate()} method of the \doxygen{MinimumDecisionRule}
// returns the index of the smallest discriminant score among the
// vector of discriminant scores that it receives as input.
//
// To begin this example, we include the class header file. We also include
// the header file for the \code{std::vector} class that will be the
// container for the discriminant scores.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
#include <vector>
// Software Guide : EndCodeSnippet
int
main(int, char *[])
{
// Software Guide : BeginLatex
//
// The instantiation of the function is done through the usual
// \code{New()} method and a smart pointer.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
using DecisionRuleType = itk::Statistics::MinimumDecisionRule;
DecisionRuleType::Pointer decisionRule = DecisionRuleType::New();
// Software Guide : EndCodeSnippet
// Software Guide : BeginLatex
//
// We create the discriminant score vector and fill it with three
// values. The call \code{Evaluate( discriminantScores )} will return 0
// because the first value is the smallest value.
//
// Software Guide : EndLatex
// Software Guide : BeginCodeSnippet
DecisionRuleType::MembershipVectorType discriminantScores;
discriminantScores.push_back(0.1);
discriminantScores.push_back(0.3);
discriminantScores.push_back(0.6);
std::cout << "MinimumDecisionRule: The index of the chosen = "
<< decisionRule->Evaluate(discriminantScores) << std::endl;
// Software Guide : EndCodeSnippet
return EXIT_SUCCESS;
}
itkMinimumDecisionRule.h
itk::Statistics::MinimumDecisionRule
A decision rule that returns the class label with the smallest discriminant score.
Definition: itkMinimumDecisionRule.h:38