static void Main(string[] args)
{
//const int MAX = 1000;
int numClusters = 0;
//int[] clustering = new int[MAX];
string fileName = "..\\..\\..\\..\\Datasets\\normal\\normal.txt";
double[][] normalData = DataSetManager.ParseDataToDouble(fileName, 2, "\t");
Console.WriteLine("========= Data Clustering of file normal.txt");
//KMeansAlgorithm.ShowData(normalData, 1, true, true);
Console.WriteLine("Enter number of clusters: ");
numClusters = Convert.ToInt32(Console.ReadLine());
Console.WriteLine("\nSetting numClusters to " + numClusters);
int[] clustering = KMeansAlgorithm.Cluster(normalData, numClusters); // this is it
Console.WriteLine("\nK-means clustering complete\n");
Console.WriteLine("Raw data by cluster:\n");
KMeansAlgorithm.ShowClustered(normalData, clustering, numClusters, 1);
//==================== the second file ===============================
fileName = "..\\..\\..\\..\\Datasets\\unbalance\\unbalance.txt";
double[][] unbalanceData = DataSetManager.ParseDataToDouble(fileName, 2, " ");
Console.WriteLine("========= Data Clustering of file unbalance.txt");
//KMeansAlgorithm.ShowData(normalData, 1, true, true);
Console.WriteLine("Enter number of clusters: ");
numClusters = Convert.ToInt32(Console.ReadLine());
Console.WriteLine("\nSetting numClusters to " + numClusters);
clustering = KMeansAlgorithm.Cluster(unbalanceData, numClusters); // this is it
Console.WriteLine("\nK-means clustering complete\n");
Console.WriteLine("Raw data by cluster:\n");
KMeansAlgorithm.ShowClustered(unbalanceData, clustering, numClusters, 1);
Console.ReadLine();
}
