private void ThreadMethod(int start, int end, int min)
{
for (int i = start; i < end; i++)
{
int cCount = i;
ClusterResult clusterresult = null;
switch (this.MethodMode)
{
case 0: clusterresult = SingleStart(cCount, ref this.WaitObj.Flags[i - min]); break;
case 1: clusterresult = SingleStartWithWeight(cCount, ref this.WaitObj.Flags[i - min]); break;
}
ClusterAssessReport_BWP clusterassessreport = Assess.GetBWP(Data, clusterresult, Distences);
lock (this.SyObject)
{
this.FinalReport.HisResult.Add(clusterresult);
this.FinalReport.HisReport.Add(clusterassessreport);
if (clusterassessreport.AvgBWP > this.Score)
{
this.Score = clusterassessreport.AvgBWP;
FinalReport.FanialResult = clusterresult;
FinalReport.FanialReport = clusterassessreport;
}
}
}
if (Barobj != null)
{
Barobj.RemoveParticipant();
}
}
public KMeans(object threadpool, IDataTable <DataRow> data, string[] properties, int maxcount, int minclustercount, int maxclustercount, double[] mean, double[] v, Protocol.Structure.WaitObject wt, int initialmode, int methodmode, int maxthread)
{
this.Data = data;
this.Properties = properties;
this.MaxCount = maxcount;
this.DataCount = data.RowCount;
this.ParaCount = properties.Length;
this.Distences = new double[this.DataCount, this.ParaCount];
this.MaxClusterCount = maxclustercount;
this.MinClusterCount = minclustercount;
this.WaitObj = wt;
this.InitialMode = initialmode;
this.MethodMode = methodmode;
this.Mean = mean;
this.Stdev = v;
this.MaxThreadCount = maxthread;
this.Distences = new double[DataCount, DataCount];
this.ThreadPool = threadpool as List <Thread>;
Parallel.For(0, this.DataCount - 1, new Action <int>((i) =>
{
for (int j = i + 1; j < this.DataCount; j++)
{
var temp = Assess.GetEdistence(this.Data, i, j, this.Properties, this.ParaCount);
this.Distences[i, j] = temp;
this.Distences[j, i] = temp;
}
}));
}
