private double CalculateDissimilarity(TransactionMatrixModel pointOne, List <TransactionMatrixModel> otherPoints)
{
List <double> distances = new List <double>();
int personCount = 0;
foreach (TransactionMatrixModel otherPoint in otherPoints)
{
if (otherPoints.Count == 1)
{
return(0);
}
if (pointOne.PersonId == otherPoint.PersonId)
{
continue;
}
double distance = 0;
for (int i = 0; i < NumberOfVectors; i++)
{
distance += EuclideanDistance(pointOne.Values[i], otherPoint.Values[i]);
}
distances.Add(Math.Sqrt(distance));
personCount++;
}
return(distances.Sum() / personCount);
// elke persoon
// distance met adnere in dezelfde cluster
// average
}
private List <TransactionMatrixModel> TransformData(List <TransactionModel> transactions)
{
int maxOffer = transactions.Max(m => m.OfferteId);
List <TransactionMatrixModel> result = new List <TransactionMatrixModel>();
foreach (var personTransactions in transactions.GroupBy(m => m.PersonId))
{
TransactionMatrixModel matrixRow = new TransactionMatrixModel {
PersonId = personTransactions.Key, Values = new int[maxOffer]
};
for (int i = 0; i < maxOffer; i++)
{
matrixRow.Values[i] = personTransactions.Count(m => m.OfferteId == i + 1) > 0 ? 1 : 0;
}
result.Add(matrixRow);
}
return(result);
}
