/// <summary>
/// 模型训练
/// </summary>
/// <param name="clusterCount">分类数目</param>
/// <param name="transStep">转移步数</param>
public void Train(int clusterCount, int transStep)
{
_clusterCount = clusterCount;
_transStep = transStep;
_fcmResult = _fcm.Run(_clusterCount);
_obsIdx = _fcmResult.Idx;
_mc.Train(_obsIdx, _transStep);
}
private void ClusterTable(Section s, ClusterReport clustReport, byte[] image)
{
var t = s.AddTable().TableDefaults();
t.AddColumn(ContentWidth());
var hdrRow = t.AddRow();
hdrRow.Shading.Color = clustReport.initialOwner.PersonToColor();
hdrRow.Cells[0].AddParagraph().AddBold("Cluster");
ClusterTableLine(t, clustReport.clusterTitle, clustReport.clusterId, false, clustReport.initialOwner);
foreach (var point in clustReport.points)
{
ArgPointTableLine(t, point, true);
}
AddLinkOrClusterImg(s, image);
}
private void ClusterTable(Section s, ClusterReport clustReport, byte[] image)
{
var t = s.AddTable().TableDefaults();
t.AddColumn(ContentWidth());
var hdrRow = t.AddRow();
hdrRow.Shading.Color = clustReport.initialOwner.PersonToColor();
hdrRow.Cells[0].AddParagraph().AddBold("Cluster");
ClusterTableLine(t, clustReport.clusterTitle, clustReport.clusterId, false, clustReport.initialOwner);
foreach (var point in clustReport.points)
ArgPointTableLine(t, point, true);
AddLinkOrClusterImg(s, image);
}
