//method to generate a string of data for the form
//this method used for file uploads
public static StringBuilder kmeanst(List <TransactionDto> trainingDtos)
{
if (trainingDtos == null)
{
System.Windows.Forms.MessageBox.Show("no data");
}
GlobalClass.program += "1. kmeanst .. ";
datainput = trainingDtos;
num = 100;
Starttime = DateTime.Now;
var algo = new NewKmeans();
// run kmeans or grid
algo.Run(ClusterType.KMeans);
//algo.Run(ClusterType.Grid);
StringBuilder sb =
algo.GenerateClusterGrid();
return(sb);
//var timespend = DateTime.Now.Subtract(Starttime).TotalSeconds;
}
//public static KmeansCluster kmc = new KmeansCluster();
//method to generate a string of data for the form
//this method used for file uploads
public static StringBuilder kmeanst(List<TransactionDto> trainingDtos)
{
if (trainingDtos == null)
System.Windows.Forms.MessageBox.Show("no data");
GlobalClass.program += "1. kmeanst .. ";
datainput = trainingDtos;
num = 100;
Starttime = DateTime.Now;
var algo = new NewKmeans();
// run kmeans
algo.Run(ClusterType.KMeans);
StringBuilder sb =
algo.GenerateClusterGrid();
return sb;
//var timespend = DateTime.Now.Subtract(Starttime).TotalSeconds;
}
//method to generate a string of data for the form
//this method used to generate random data
public static StringBuilder kmeanstoo()
{
GlobalClass.program += "2. kmeanstoo .. ";
datainput = null;
Starttime = DateTime.Now;
var algo = new NewKmeans();
// run kmeans or grid
algo.Run(ClusterType.KMeans);
//algo.Run(ClusterType.Grid);
StringBuilder sb =
algo.GenerateClusterGrid();
return(sb);
//var timespend = DateTime.Now.Subtract(Starttime).TotalSeconds;
}
//method to generate a string of data for the form
//this method used to generate random data
public static StringBuilder kmeanstoo(List<XY> _pointsa)
{
GlobalClass.program += "2. kmeanstoo .. ";
datainput2 = _pointsa;
Starttime = DateTime.Now;
var algo = new NewKmeans();
// run kmeans
algo.Run(ClusterType.KMeans);
StringBuilder sb =
algo.GenerateClusterGrid();
return sb;
//var timespend = DateTime.Now.Subtract(Starttime).TotalSeconds;
}
public Segment(NewKmeans.XY p1, NewKmeans.XY p2)
{
P1 = p1;
P2 = p2;
}
private const double Exp = 2; // 2=euclid, 1=manhatten
#endregion Fields
#region Methods
//Minkowski dist
public static double Distance(NewKmeans.XY a, NewKmeans.XY b)
{
return Math.Pow(Math.Pow(Math.Abs(a.X - b.X), Exp) +
Math.Pow(Math.Abs(a.Y - b.Y), Exp), 1.0 / Exp);
}
//method to generate a string of data for the form
//this method used to generate random data
public static StringBuilder kmeanstoo()
{
GlobalClass.program += "2. kmeanstoo .. ";
datainput = null;
Starttime = DateTime.Now;
var algo = new NewKmeans();
// run kmeans or grid
algo.Run(ClusterType.KMeans);
//algo.Run(ClusterType.Grid);
StringBuilder sb =
algo.GenerateClusterGrid();
return sb;
}
private void btnStart_Click(object sender, EventArgs e)
{
NewKmeans kmeans = new NewKmeans();
StringBuilder sb = NewKmeans.kmeanstoo();
this.txtData.Text = sb.ToString();
List<NewKmeans.XY> dsList = new List<NewKmeans.XY>();
dsList = NewKmeans.CreateDataSet();
String listds = String.Empty;
foreach(NewKmeans.XY XY in dsList){
listds += "(" + XY.XToString + " " + XY.YToString + ") , ";
}//end foreach
//this.txtData.Text = listds;
this.dataGridView1.DataSource = dsList;
}