private List <ClusterDistanceModel> CalculateDistances(double[,] centroids)
{
List <ClusterDistanceModel> result = new List <ClusterDistanceModel>();
foreach (TransactionMatrixModel personId in TransactionMatrix)
{
ClusterDistanceModel model = new ClusterDistanceModel
{
PersonId = personId.PersonId,
ClusterDistances = new Dictionary <int, double>()
};
for (int i = 0; i < NumberOfClusters; i++)
{
double distance = 0;
for (int j = 0; j < NumberOfVectors; j++)
{
if (personId.Values[j] == 0 && i == j)
{
continue;
}
distance += EuclideanDistance(personId.Values[j], centroids[i, j]);
/*Math.Pow(personId.Values[j] - centroids[i, j], 2);*/
}
distance = Math.Sqrt(distance);
model.ClusterDistances.Add(i, distance);
}
model.CurrentCluster = SelectCluster(model);
result.Add(model);
}
return(result);
}
private int SelectCluster(ClusterDistanceModel model)
{
return(model.ClusterDistances.Where(
m => m.Value.Equals(model.ClusterDistances.Min(n => n.Value)))
.Select(m => m.Key).First());
}