private static void ClusterPreflopHands()
{
// k-means clustering
Kmeans kmeans = new Kmeans();
preflopIndices = kmeans.ClusterEMD(histogramsPreflop, Global.nofOpponentClusters, 100, null);
Console.WriteLine("Created the following cluster for starting hands: ");
List <Hand> startingHands = Utilities.GetStartingHandChart();
for (int i = 0; i < 169; ++i)
{
long index = Global.indexer_2.indexLast(new int[] { startingHands[i].Cards[0].GetIndex(),
startingHands[i].Cards[1].GetIndex() });
var nofConsoleColors = Enum.GetNames(typeof(ConsoleColor)).Length;
if (nofConsoleColors <= Global.nofOpponentClusters)
{
Console.ForegroundColor = (ConsoleColor)preflopIndices[index];
Console.Write("X ");
Console.ResetColor();
}
else
{
Console.Write(preflopIndices[index] + " ");
}
if (i % 13 == 12)
{
Console.WriteLine();
}
}
Console.WriteLine();
}
private static void ClusterFlop()
{
// k-means clustering
DateTime start = DateTime.UtcNow;
Kmeans kmeans = new Kmeans();
int[] indices = FileHandler.LoadFromFileIndex("EMDTableFlop_temp.txt");
flopIndices = kmeans.ClusterEMD(histogramsFlop, Global.nofFlopBuckets, 1, indices);
TimeSpan elapsed = DateTime.UtcNow - start;
Console.WriteLine("Flop clustering completed in {0}d {1}h {2}m {3}s", elapsed.Days, elapsed.Hours, elapsed.Minutes, elapsed.Seconds);
Console.WriteLine("Created the following clusters for the Flop (extract of one cluster): ");
int nofEntriesToDisplay = 20;
for (int i = 0; i < Global.indexer_2_3.roundSize[1] && nofEntriesToDisplay > 0; ++i)
{
if (turnIndices[i] == 0)
{
int[] cards = new int[5];
Global.indexer_2_3.unindex(Global.indexer_2_3.rounds - 1, i, cards);
Hand hand = new Hand();
hand.Cards = new List <Card>()
{
new Card(cards[0]), new Card(cards[1]), new Card(cards[2]), new Card(cards[3]),
new Card(cards[4])
};
hand.PrintColoredCards("\n");
nofEntriesToDisplay--;
}
}
if (nofEntriesToDisplay == 0)
{
Console.WriteLine("...");
}
}
private static void ClusterRiver()
{
// k-means clustering
DateTime start = DateTime.UtcNow;
Kmeans kmeans = new Kmeans();
int[] indices = FileHandler.LoadFromFileIndex("OCHSRiverClusters_temp.txt");
riverIndices = kmeans.ClusterL2(histogramsRiver, Global.nofRiverBuckets, 1, indices);
Console.WriteLine("Created the following clusters for the River: ");
int nofExamplesToPrint = 10;
for (int i = 0; i < Global.indexer_2_5.roundSize[1]; ++i)
{
if (riverIndices[i] == 0 && nofExamplesToPrint > 0)
{
int[] cards = new int[7];
Global.indexer_2_5.unindex(Global.indexer_2_5.rounds - 1, i, cards);
Hand hand = new Hand();
hand.Cards.Add(new Card(cards[0]));
hand.Cards.Add(new Card(cards[1]));
hand.Cards.Add(new Card(cards[2]));
hand.Cards.Add(new Card(cards[3]));
hand.Cards.Add(new Card(cards[4]));
hand.Cards.Add(new Card(cards[5]));
hand.Cards.Add(new Card(cards[6]));
hand.PrintColoredCards();
Console.WriteLine();
nofExamplesToPrint--;
}
}
TimeSpan elapsed = DateTime.UtcNow - start;
Console.WriteLine("River clustering completed in {0}d {1}h {2}m {3}s", elapsed.Days,
elapsed.Hours, elapsed.Minutes, elapsed.Seconds);
}
