/// <summary>
/// Callback function for the DBScan clustering algorithm
/// </summary>
/// <param name="target"></param>
/// <param name="items"></param>
/// <returns></returns>
List <TravelTimeDelay> FindNeighbours(TravelTimeDelay target, IList <TravelTimeDelay> items)
{
double eps = _parameters[_parametersIndex].DelayDifferencePercentage * target.TravelTime.TotalTravelTime.TotalSeconds / 100.0;
List <TravelTimeDelay> result = new List <TravelTimeDelay>();
for (int i = 0; i < items.Count; i++)
{
if (items[i] != target && Math.Abs(target.Delay - items[i].Delay) < eps && _parameters[_parametersIndex].AreClose(target.TravelTime.TimeStart, items[i].TravelTime.TimeStart))
{
result.Add(items[i]);
}
}
return(result);
}
/// <summary>
/// Callback function for the DBScan clustering algorithm
/// </summary>
/// <param name="target"></param>
/// <param name="items"></param>
/// <returns></returns>
List<TravelTimeDelay> FindNeighbours(TravelTimeDelay target, IList<TravelTimeDelay> items)
{
double eps = _parameters[_parametersIndex].DelayDifferencePercentage * target.TravelTime.TotalTravelTime.TotalSeconds / 100.0;
List<TravelTimeDelay> result = new List<TravelTimeDelay>();
for (int i = 0; i < items.Count; i++) {
if (items[i] != target && Math.Abs(target.Delay - items[i].Delay) < eps && _parameters[_parametersIndex].AreClose(target.TravelTime.TimeStart, items[i].TravelTime.TimeStart))
result.Add(items[i]);
}
return result;
}
