public void EstimatorMinkowski_Estimate()
{
Estimator estimator = new EstimatorMinkowski(pure, output, 2.0);
double result = estimator.Estimate();
Assert.IsTrue(ExtraMath.EqualValue(result, 6.245));
}
/// <summary>
/// Переключает режим работы между вводом данных и анализом
/// </summary>
/// <param name="parameters">Структура с параметрами запуск</param>
/// <param name="distance">Расстояние</param>
/// <param name="manhattan">Расстояние Манхеттена</param>
/// <param name="euclid">Расстояние Евклида</param>
/// <param name="correlation">Коэффициент корреляции<</param>
/// <param name="cos">Косинусная мера</param>
public void Switch(StrategiesParameters parameters, out double distance, out double manhattan, out double euclid, out double correlation, out double cos)
{
emulatorSettings = parameters.EmulatorSetting;
IsEmulation = parameters.Source != SourceType.Network;
correlation = 0.0;
euclid = 0.0;
distance = 0.0;
manhattan = 0.0;
cos = 0.0;
if (!emulatorSettings.Fast)
{
if (IsWorking == false)
{
time = 0.0;
IsWorking = true;
setStrategies(parameters);
refreshChart();
if ((source != null) && (filter != null) && (noiser != null))
source.Start();
}
else
{
IsWorking = false;
unsetStrategies();
if (IsEmulation)
{
Estimator estimatorDistance = new EstimatorDistance(pure, output);
Estimator estimatorManhattan = new EstimatorMinkowski(pure, output, 1.0);
Estimator estimatorEuclid = new EstimatorMinkowski(pure, output, 2.0);
Estimator estimatorCorrelation = new EstimatorCorrelation(pure, output);
Estimator estimatorCos = new EstimatorCos(pure, output);
distance = estimatorDistance.Estimate();
manhattan = estimatorManhattan.Estimate();
euclid = estimatorEuclid.Estimate();
correlation = estimatorCorrelation.Estimate();
cos = estimatorCos.Estimate();
}
}
}
else
{
double x = 0.0;
setStrategies(parameters);
time = 0.0;
refreshChart();
while (x <= emulatorSettings.Range)
{
double currentInput, currentOutput, currentPure;
currentInput = ((SourceEmulator)source).GetNext();
filter.AddInput(currentInput);
currentOutput = filter.GetOutput();
currentPure = ((SourceEmulator)source).DataPure;
input.Add(currentInput);
pure.Add(currentPure);
output.Add(currentOutput);
mainChart.Series["input"].Points.AddXY(x, currentInput);
mainChart.Series["output"].Points.AddXY(x, currentOutput);
mainChart.Series["pure"].Points.AddXY(x, currentPure);
x += emulatorSettings.Interval / 1000.0;
}
Estimator estimatorDistance = new EstimatorDistance(pure, output);
Estimator estimatorManhattan = new EstimatorMinkowski(pure, output, 1.0);
Estimator estimatorEuclid = new EstimatorMinkowski(pure, output, 2.0);
Estimator estimatorCorrelation = new EstimatorCorrelation(pure, output);
Estimator estimatorCos = new EstimatorCos(pure, output);
distance = estimatorDistance.Estimate();
manhattan = estimatorManhattan.Estimate();
euclid = estimatorEuclid.Estimate();
correlation = estimatorCorrelation.Estimate();
cos = estimatorCos.Estimate();
}
}