public static CategClusterSet ProcessAsync(OrdModelView model, int nClusters, CancellationToken cancellationToken)
{
if ((model == null) || (nClusters < 2))
{
return null;
}
if (cancellationToken.IsCancellationRequested)
{
return null;
}
var rd = new Random();
CategClusterSet oRet = new CategClusterSet(model);
Cluster[] cc = new Cluster[nClusters];
IndivData[] inds = oRet.Indivs.ToArray();
int nMax = inds.Length;
if (nMax < nClusters)
{
return null;
}
HashSet<int> oCur = new HashSet<int>();
for (int i = 0; i < nClusters; ++i)
{
int nx = rd.Next(0, nMax);
while (nx >= nMax)
{
nx = rd.Next(nMax);
}
IndivData indiv = inds[nx];
int index = indiv.IndivIndex;
while (oCur.Contains(index))
{
nx = rd.Next(0, nMax);
while (nx >= nMax)
{
nx = rd.Next(0, nMax);
}
indiv = inds[nx];
index = indiv.IndivIndex;
}
oCur.Add(index);
var xc = new Cluster(indiv, ClassificationType.Utility);
xc.Name = String.Format("CU{0}", i + 1);
xc.Index = i;
cc[i] = xc;
}// i
oRet.Clusters = cc.ToList();
double xx = oRet.compute_global_crit(cancellationToken);
oRet.GlobalCrit = xx;
if (cancellationToken.IsCancellationRequested)
{
return null;
}
foreach (var ind in inds)
{
if (cancellationToken.IsCancellationRequested)
{
return null;
}
if (!oCur.Contains(ind.IndivIndex))
{
if (!oRet.processOne(ind, cancellationToken))
{
return null;
}
}
}// inds
return oRet;
}
