double GetSilhouette(Element e)
{
if (Structuring.HaveUnassignedElements() && Structuring.IsUnassigned(e))
return 0;
EuclideanDistance ed = new EuclideanDistance();
ed.AttributesToCalculateProximity = Set.Attributes.Values;
Cluster actual = Structuring.GetCluster(e)[0];
double ai = ed.CalculateProximity(e, actual.Centroid);
double bi = double.MaxValue;
foreach (var cluster in Structuring.Clusters.Values)
{
if (actual.Name != cluster.Name)
{
double aux = ed.CalculateProximity(e, cluster.Centroid);
if (aux < bi)
bi = aux;
}
}
return (bi - ai) / Math.Max(bi, ai);
}
/// <summary>
///
/// </summary>
/// <returns></returns>
public override double EvaluatePartition()
{
UpdatesCentroids();
EuclideanDistance ed = new EuclideanDistance();
ed.AttributesToCalculateProximity = Set.Attributes.Values;
double result = 0;
foreach (var cluster in Structuring.Clusters.Values)
{
foreach (var item in cluster.Elements)
{
result += ed.CalculateProximity(item, cluster.Centroid);
}
}
return Math.Sqrt(result / Set.ElementsCount);
}
public void FillHeaps()
{
if (Set == null)
throw new NullReferenceException("Error conjunto NULL en la Medida Dunn");
lh = new List<HeapArray<Container>>(Set.ElementsCount);
for (int i = 0; i < Set.Elements.Count; i++)
{
lh.Add(new HeapArray<Container>(Set.Elements.Count - 1));//No se pone la diss de un elemento con el mismo
}
EuclideanDistance ed = new EuclideanDistance();
ed.AttributesToCalculateProximity = Set.Attributes.Values;
for (int i = 0; i < Set.ElementsCount; i++)
{
for (int j = i + 1; j < Set.ElementsCount; j++)
{
double distance = ed.CalculateProximity(Set.Elements[i], Set.Elements[j]);
lh[i].Add(new Container() { Rank = distance, Name = i, Cluster = j });
lh[j].Add(new Container() { Rank = distance, Name = j, Cluster = i });
}
}
}
