private static void AddToGroupTable(Hashtable groupTable, CenterInfo cp)
{
if (groupTable.ContainsKey(cp.Cluster))
{
Hashtable methodTable = (Hashtable)groupTable[cp.Cluster];
if (methodTable.ContainsKey(cp.Method))
{
// Need a list to maintain the order of points
List <CenterInfo> cps = (List <CenterInfo>)methodTable[cp.Method];
cps.Add(cp);
}
else
{
// Need a list to maintain the order of points
List <CenterInfo> cps = new List <CenterInfo> {
cp
};
methodTable[cp.Method] = cps;
}
}
else
{
// Need a list to maintain the order of points
List <CenterInfo> cps = new List <CenterInfo> {
cp
};
Hashtable methodTable = new Hashtable();
methodTable[cp.Method] = cps;
groupTable[cp.Cluster] = methodTable;
}
}
private static Hashtable ProcessCenterFile(string centerFile)
{
using (StreamReader reader = new StreamReader(centerFile))
{
Hashtable groupTable = new Hashtable();
while (!reader.EndOfStream)
{
CenterInfo cp = ReadCenterLine(reader.ReadLine());
AddToGroupTable(groupTable, cp);
}
return(groupTable);
}
}
private static void CreatePlotWithCenters(string outDir, string outNamePrefix, XElement clustersElement, XElement pointsElement, int maxpnum, Hashtable existingPointsTable, int maxcnum, List <Color> matlab50Colors, Hashtable groupTable, int numberOfCenterPointsToIncludeInEachCenterType)
{
++maxcnum;
foreach (DictionaryEntry groupToMethodTable in groupTable)
{
var group = (int)groupToMethodTable.Key; // group is the original cluster number
var methodTable = (Hashtable)groupToMethodTable.Value;
int methodCount = methodTable.Count;
int tempCount = methodCount;
foreach (DictionaryEntry methodToCenterPoints in methodTable)
{
var method = (string)methodToCenterPoints.Key; // method is one of smallest distance mean, smallest MDS mean, etc.
// cluster number to be used in PlotViz for this center type
var clusterNumberForCenterType = group * methodCount + (methodCount - tempCount--) + maxcnum;
// cluster name to be used in PlotViz for this center type
var centerTypeName = group + "." + method + ".centerpoints";
// add an XML element to represent this center type as a cluster in PlotViz
clustersElement.Add(CreateClusterElement(clusterNumberForCenterType, centerTypeName,
matlab50Colors[group % matlab50Colors.Count], false, 2.0));
var cps = (List <CenterInfo>)methodToCenterPoints.Value;
// Picking the topmost n point for each method
for (int i = 0; i < numberOfCenterPointsToIncludeInEachCenterType; i++)
{
CenterInfo cp = cps[i];
PlotVizPoint p = (PlotVizPoint)existingPointsTable[cp.Pnum];
pointsElement.Add(CreatePointElement(++maxpnum, clusterNumberForCenterType,
("cluster:" + group + "-idx:" + p.Index + "method:" +
method),
p.X, p.Y, p.Z));
}
}
}
string pvizName = outNamePrefix + "_with_" + numberOfCenterPointsToIncludeInEachCenterType + "_center(s)_for_each_center_type";
XElement plotElement = CreatePlotElement(pvizName, true);
XElement plotvizElement = new XElement("plotviz");
plotvizElement.Add(plotElement);
plotvizElement.Add(clustersElement);
plotvizElement.Add(pointsElement);
string pvizFile = Path.Combine(outDir, pvizName + ".pviz");
plotvizElement.Save(pvizFile);
}
public JsonResult GetCenterAll()
{
CenterInfo res = new CenterInfo();
return(Json(res.GetAllCenter(), JsonRequestBehavior.AllowGet));
}
public frmCenterInfo(Account oAccount) : base(oAccount)
{
InitializeComponent();
oCen = new CenterInfo();
}
