private void calculateGaussionToolStripMenuItem_Click(object sender, EventArgs e)
{
foreach (var combo in _data_mananger._list_combo)
{
List <TBTfront.CompontParam> list_data = new List <TBTfront.CompontParam>();
for (int i = 0; i < combo.data_list.Count; i++)
{
list_data.Add(combo.data_list[i]);
}
// 调后台生成光线
TBTfront.Ant ant = new TBTfront.Ant();
List <GaussianCluster> cluster_list = new List <GaussianCluster>();
GaussianCluster cluster = new GaussianCluster();
CalcOption opt = new CalcOption();
int res = ant.clacGaussian(list_data, cluster, cluster_list, opt);
if (res != 0)
{
//MessageBox();
continue;
}
_render.RemoveViewProp(combo.actorGaussian);
combo.actorGaussian = FrustumCone.genActor(cluster_list);
_render.AddViewProp(combo.actorGaussian);
}
updateVtk();
}
private void writeGaussianData(System.IO.StreamWriter sw)
{
GaussianClusterCollection gCol = (GaussianClusterCollection)clusterCollection;
for (int i = 0; i < gCol.Count; i++)
{
GaussianCluster gClust = gCol[i];
sw.WriteLine(String.Join(",", (from double d in gClust.Mean select d.ToString()).ToArray()));
sw.WriteLine(String.Join(",", (from double d in gClust.Covariance select d.ToString()).ToArray()));
sw.WriteLine(gClust.Proportion.ToString());
}
}
private void gaussianReport(Forms.RunningProcess.frmRunningProcessDialog rd)
{
GaussianClusterCollection gCol = (GaussianClusterCollection)clusterCollection;
for (int i = 0; i < gCol.Count; i++)
{
GaussianCluster gClust = gCol[i];
double[] mns = gClust.Mean;
double[,] cov = gClust.Covariance;
rd.addMessage("\n\nCluster " + Labels[i] + ":\nMeans: " + String.Join(", ", (from double d in mns select d.ToString()).ToArray()) + "\nCovariance:");
for (int j = 0; j < VariableFieldNames.Length; j++)
{
string[] covStrArr = new string[VariableFieldNames.Length];
for (int l = 0; l < covStrArr.Length; l++)
{
covStrArr[l] = cov[l, j].ToString();
}
rd.addMessage("\n" + String.Join(",", covStrArr));
}
}
}
