/*=========================================================================
 *
 *  Copyright NumFOCUS
 *
 *  Licensed under the Apache License, Version 2.0 (the "License");
 *  you may not use this file except in compliance with the License.
 *  You may obtain a copy of the License at
 *
 *         https://www.apache.org/licenses/LICENSE-2.0.txt
 *
 *  Unless required by applicable law or agreed to in writing, software
 *  distributed under the License is distributed on an "AS IS" BASIS,
 *  WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 *  See the License for the specific language governing permissions and
 *  limitations under the License.
 *
 *=========================================================================*/
#include "itkMinimumDecisionRule.h"

namespace itk
{
namespace Statistics
{
MinimumDecisionRule::ClassIdentifierType
MinimumDecisionRule::Evaluate(const MembershipVectorType & discriminantScores) const
{
  ClassIdentifierType minIndex = 0;

  if (!discriminantScores.empty())
  {
    MembershipValueType min = discriminantScores[0];
    ClassIdentifierType i;

    for (i = 1; i < discriminantScores.size(); ++i)
    {
      if (discriminantScores[i] < min)
      {
        min = discriminantScores[i];
        minIndex = i;
      }
    }
  }
  return minIndex;
}
} // end of namespace Statistics
} // end of namespace itk
