private HighestLowest CalculateTarget(List <DbscanPoint> points, double heightAdjusted)
{
List <HighestLowest> highestLowestList = new List <HighestLowest>();
var clusterCount = DbscanAlgorithm.Dbscan(points.ToArray(), 45, 2);
if (clusterCount == 0)
{
return(null);
}
for (var i = 0; i <= clusterCount - 1; i++)
{
highestLowestList.Add(new HighestLowest {
Id = i
});
}
int clusterIdClosestToMiddle = 0;
int clusterClosestToMiddleDistance = int.MaxValue;
var castSettings = ((PixelClickerPrototype.Settings)Settings);
foreach (var pointLoopVariable in points)
{
var point = pointLoopVariable;
if (point.ClusterId == null || point.IsNoise)
{
continue;
}
if (point.X < highestLowestList[(int)(point.ClusterId - 1)].HighestPoint.X)
{
highestLowestList[(int)(point.ClusterId - 1)].HighestPoint.X = point.X;
}
if (point.Y < highestLowestList[(int)(point.ClusterId - 1)].HighestPoint.Y)
{
highestLowestList[(int)(point.ClusterId - 1)].HighestPoint.Y = point.Y;
}
if (point.X > highestLowestList[(int)(point.ClusterId - 1)].LowestPoint.X)
{
highestLowestList[(int)(point.ClusterId - 1)].LowestPoint.X = point.X;
}
if (point.Y > highestLowestList[(int)(point.ClusterId - 1)].LowestPoint.Y)
{
highestLowestList[(int)(point.ClusterId - 1)].LowestPoint.Y = point.Y;
}
int dis = DistanceBetween(new Point(Settings.SearchArea.Width / 2, (int)(Settings.SearchArea.Height / 2 * heightAdjusted)), new Point(point.X + castSettings.XOffset, point.Y + castSettings.YOffset));
if (dis < clusterClosestToMiddleDistance)
{
clusterClosestToMiddleDistance = dis;
clusterIdClosestToMiddle = (int)(point.ClusterId - 1);
}
highestLowestList[(int)(point.ClusterId - 1)].Points.Add(new Point(point.X, point.Y));
}
return(highestLowestList[clusterIdClosestToMiddle]);
}
