/// <summary>
/// Som neural network, circle of neurons topology, torus data
/// </summary>
private void TorusStartButton_Click(object sender, System.Windows.RoutedEventArgs e)
{
// prepare the data - create a torus
var data = new List<double[]>();
const int radiousFromCanvasCenter = 40;
const int torusRadious = 10;
for (var i = 0; i < 360; i = i + 3)
for (var j = 0; j < 360; j = j +3)
{
double radians1 = i/(180/Math.PI);
double radians2 = j/(180/Math.PI);
double x = (radiousFromCanvasCenter + torusRadious * Math.Cos(radians1)) * Math.Cos(radians2);
double y = (radiousFromCanvasCenter + torusRadious * Math.Cos(radians1)) * Math.Sin(radians2);
data.Add(new []{x + 50 ,y + 50});
}
// Initialize Self Orgenized map
var selfOrgenizedMap = new SelfOrgnizedMap<CircleTopology>(2, int.Parse(SetNumOfClasters.Text), this);
StartWorking(data.ToArray(), selfOrgenizedMap);
}
/// <summary>
/// Som neural network , line of neurons topology, uniform density data
/// </summary>
private void UnifromStartButton_Click(object sender, System.Windows.RoutedEventArgs e)
{
// prepare the data - ordered data
var dataSize = (int)(MainCanvas.Height * MainCanvas.Width);
var data = new double[dataSize][];
for (var i = 0; i < MainCanvas.Height; i++)
for (var j = 0; j < MainCanvas.Width; j++)
{
data[(i * ((int)MainCanvas.Width)) + j] = new double[] { i, j };
}
// Initialize Self Orgenized map
var selfOrgenizedMap = new SelfOrgnizedMap<LineTopology>(2, int.Parse(SetNumOfClasters.Text), this);
StartWorking(data, selfOrgenizedMap);
}
/// <summary>
/// Som neural network, line of neurons topology, non uniform density data
/// </summary>
private void NonUniformStartButton_Click(object sender, System.Windows.RoutedEventArgs e)
{
var rand = new Random();
// prepare the data - random data
var dataSize = (int)(MainCanvas.Height * MainCanvas.Width);
var data = new double[dataSize][];
for (var i = 0; i < MainCanvas.Height; i++)
{
var x = rand.Next(0,(int)MainCanvas.Width);
var y = rand.Next(0,(int)MainCanvas.Height);
for (var j = 0; j < MainCanvas.Height; j++)
data[(i * ((int)MainCanvas.Width)) + j] = new []
{
rand.Next(x-5,x+5),
(double)rand.Next(y - 5, y +5)
};
}
// Initialize Self Orgenized map
var selfOrgenizedMap = new SelfOrgnizedMap<LineTopology>(2, int.Parse(SetNumOfClasters.Text), this);
StartWorking(data, selfOrgenizedMap);
}