/// <summary>
/// Performs a sort of K Nearest Neighbour.
/// </summary>
public void KNNSearch()
{
CurrentLocation = -1;
limit = Convert.ToInt32(UpperTextBox.Text);
lowerlimit = Convert.ToInt32(LowerTextBox.Text);
testInd = Convert.ToInt32(TestOrientBox.Text);
int simNum = Convert.ToInt32(SimulateBox.Text);
List <List <double> > Tests = MainData.GetFlattenedTests(testInd, simNum);
List <List <double> > map = MainData.GetFlattenedMap(simNum, -1);
List <List <List <double> > > Distances = new List <List <List <double> > >();
// Get distance metrics
for (int i = 0; i < Tests.Count; i++)
{
Distances.Add(GetDistWithDirec(map, Tests[i]));
}
// Perform search
int currentTest = 0;
foreach (List <List <double> > test in Distances)
{
// Get minimums
List <int> MinInds = new List <int>();
List <double> Mins = new List <double>();
foreach (List <double> orientation in test)
{
List <object> details = GetMin(limit, orientation.Count, orientation);
Mins.Add((double)details[0]);
MinInds.Add((int)details[1]);
}
// Find min orientation
double TotalMin = Mins.Min();
int OrientationInd = Mins.IndexOf(TotalMin);
int PointInd = MinInds[OrientationInd];
// First test must be 0 (?)
if (currentTest == 0)
{
PointInd = 0;
}
MainDataStructure.TestPoint point = MainData.GetTestPoint(currentTest);
point.CalculatedPoint = PointInd;
point.CalculatedDirection = OrientationInd;
point.CalculatedMin = TotalMin;
MainData.SetTest(currentTest, point);
CurrentLocation = PointInd;
Console.WriteLine("Test " + currentTest + ": Expected: " + point.ExpectedPoint + " Got: " + PointInd + " with " + TotalMin);
Console.WriteLine(" Direction -> Expected: " + point.ExpectedDirection + " Got: " + OrientationInd);
Console.WriteLine("All mins");
for (int j = 0; j < Mins.Count; j++)
{
Console.WriteLine("Min:" + Mins[j] + " at: " + MinInds[j]);
}
Console.WriteLine("---------------------------" + Environment.NewLine);
currentTest++;
}
}