private double CalcSumOfLocalReachabilityDensity(LocalOutlierFactorPoint person)
{
double sum = 0;
foreach (var neighbour in person.DistanceToNeighbours)
{
sum += resultList[neighbour.Item1].LocalReachabilityDensity;
}
return(sum);
}
private double CalcSumOfReachDistK(LocalOutlierFactorPoint person)
{
double sum = 0;
double KDistNeighbour;
foreach (var neighbour in person.DistanceToNeighbours)
{
KDistNeighbour = resultList[neighbour.Item1].KDistance;
sum += Math.Max(KDistNeighbour, neighbour.Item2);
}
return(sum);
}
private void DistanceToKthNeighbour()
{
int lengthDim1 = distanceMatrix.Rows;
int lengthDim2 = distanceMatrix.Columns;
for (int row = 0; row < lengthDim1; row++)
{
LocalOutlierFactorPoint person = new LocalOutlierFactorPoint();
for (int col = 0; col < lengthDim2; col++)
{
if (row != col)
{
person.DistanceToNeighbours.Add(Tuple.Create(col, distanceMatrix[row, col]));
}
}
person.DistanceToNeighbours.Sort((x, y) => x.Item2.CompareTo(y.Item2));
int neighboursToTake = kNeighbours;
if (person.DistanceToNeighbours[neighboursToTake - 1].Item2 == person.DistanceToNeighbours[neighboursToTake].Item2 ||
person.DistanceToNeighbours[neighboursToTake - 2].Item2 == person.DistanceToNeighbours[neighboursToTake - 1].Item2)
{
do
{
neighboursToTake++;
} while ((neighboursToTake < (lengthDim1 - 1)) &&
(person.DistanceToNeighbours[neighboursToTake - 1].Item2 ==
person.DistanceToNeighbours[neighboursToTake].Item2));
neighboursToTake++;
}
person.DistanceToNeighbours = person.DistanceToNeighbours.Take(neighboursToTake).ToList();
person.KDistance = person.DistanceToNeighbours[person.DistanceToNeighbours.Count - 1].Item2;
person.ID = row;
resultList.Add(person);
}
}
