public void LOFWhereLastTwoValuesAreEqual()
{
double[,] LOFInput = { { 0, 87, 231, 259, 259 },
{ 87, 0, 195, 183, 222 },
{ 231, 195, 0, 123, 260 },
{ 259, 183, 123, 0, 140 },
{ 259, 222, 260, 140, 0 } };
double[] LOFResult = { 1.06583, 0.996521, 0.925384, 1.0416, 0.964608 };
Matrix distanceMatrix = new Matrix(LOFInput);
int kNeighbors = 3;
LocalOutlierFactor LOF = new LocalOutlierFactor(distanceMatrix, kNeighbors);
var persons = LOF.Run();
double expectedValue;
bool validTest = false;
double calculatedValue;
for (int i = 0; i < LOFInput.GetLength(0); i++)
{
expectedValue = LOFResult[i];
calculatedValue = persons[i].LocalOutlierFactor;
if (Math.Abs(calculatedValue - expectedValue) < 0.00001)
{
validTest = true;
}
}
Assert.IsTrue(validTest);
}
public void LOFOnANormalDistanceMatrix()
{
double[,] LOFInput = { { 0, 87, 284, 259, 270 },
{ 87, 0, 195, 183, 222 },
{ 284, 195, 0, 123, 260 },
{ 259, 183, 123, 0, 140 },
{ 270, 222, 260, 140, 0 } };
double[] LOFResult = { 1.03891, 1.03319, 0.915506, 1.06623, 0.968356 };
Matrix distanceMatrix = new Matrix(LOFInput);
int kNeighbors = 3;
LocalOutlierFactor LOF = new LocalOutlierFactor(distanceMatrix, kNeighbors);
var persons = LOF.Run();
double expectedValue;
bool validTest = false;
double calculatedValue;
for (int i = 0; i < LOFInput.GetLength(0); i++)
{
expectedValue = LOFResult[i];
calculatedValue = persons[i].LocalOutlierFactor;
if (Math.Abs(calculatedValue - expectedValue) < 0.00001)
{
validTest = true;
}
}
Assert.IsTrue(validTest);
}
static void LocalOutlierFactorD(int kNeighbours, IdentifiableDataPointCollection dataCollection, IDistanceMetric distanceMetric)
{
DistanceMatrix distanceMatrix = new DistanceMatrix(dataCollection, distanceMetric);
var outlierDetection = new LocalOutlierFactor(distanceMatrix, kNeighbours);
var list = outlierDetection.Run();
foreach (var person in list)
{
Console.WriteLine("Person: {0} has the Local Outlier Factor of {1}", person.ID, person.LocalOutlierFactor);
}
}
private List <LocalOutlierFactorPoint> CreateLocalOutlierPointList()
{
var localOutlierFactor = new LocalOutlierFactor(distanceMatrix, kValue);
return(localOutlierFactor.Run());
}