public static CityData GetCityData(float X, float Y)
{
CityData item = null;
bool result = false;
for (int j = 0; j < ClusterCount; j++)
{
foreach (System.Collections.DictionaryEntry obj in CityDataObjects[j])
{
item = (CityData)obj.Value;
if (item.X == X && item.Y == Y)
{
result = true;
}
}
if (result)
{
break;
}
}
return(item);
}
public static void SetUpMap(string MapFile, int NumofClusters)
{
try
{
MapFilename = MapFile;
CityList.Clear();
ClusterCount = NumofClusters;
CityDataObjects = new Hashtable[NumofClusters];
ClusteredObjects = new ArrayList[NumofClusters];
for (int x = 0; x < NumofClusters; x++)
{
ClusteredObjects[x] = new ArrayList();
}
float AveCityPerCluster = 0;
string[] items;
string data = "";
System.IO.StreamReader sr = new System.IO.StreamReader(MapFile);
data = sr.ReadLine();//skip first row, header row
data = sr.ReadLine();
while (data != null)
{
CityList.Add(data);
data = sr.ReadLine();
}
AveCityPerCluster = (float)CityList.Count / (float)NumofClusters;
int m = CityList.Count % NumofClusters;
//Ensure all cities distributed between the number of clusters for K-Means computation later
AveCityPerCluster = (float)Math.Round(AveCityPerCluster, 0);
AveCityPerCluster += m;
int j = 0;
int i = 1;
CityDataObjects[j] = new Hashtable();
foreach (string item in CityList)
{
if (i <= AveCityPerCluster)
{
items = item.Split(',');
CityData city = new CityData(items[0], float.Parse(items[1]), float.Parse(items[2]), float.Parse(items[3]));
//Console.WriteLine(i.ToString() + " - " +city.CityName);
CityDataObjects[j].Add(items[0], city);
i += 1;
}
else
{
j += 1; i = 1; CityDataObjects[j] = new Hashtable();
items = item.Split(',');
CityData city = new CityData(items[0], float.Parse(items[1]), float.Parse(items[2]), float.Parse(items[3]));
//Console.WriteLine(i.ToString() + " - " + city.CityName);
CityDataObjects[j].Add(items[0], city);
}
}
}
catch (Exception e)
{
throw e;
}
//
}