/// <summary>
/// Calculate the euclidean distance between a centroid and data.
/// </summary>
///
/// <param name="c">The centroid to use.</param>
/// <param name="data">The data to use.</param>
/// <returns>The distance.</returns>
public static double CalculateEuclideanDistance(Centroid c,
IMLData data)
{
double[] d = data.Data;
double sum = c.Centers.Select((t, i) => Math.Pow(d[i] - t, 2)).Sum();
return(Math.Sqrt(sum));
}
/// <summary>
/// Setup the initial centroids.
/// </summary>
///
private void SetInitialCentroids()
{
for (int n = 1; n <= _clusters.Length; n++)
{
var temp = new double[_set.InputSize];
for (int j = 0; j < temp.Length; j++)
{
temp[j] = (((GetMaxValue(j) - GetMinValue(j)) / (_clusters.Length + 1)) * n)
+ GetMinValue(j);
}
var c1 = new Centroid(temp);
_clusters[n - 1].Centroid = c1;
c1.Cluster = _clusters[n - 1];
}
}
/// <summary>
/// Setup the initial centroids.
/// </summary>
///
private void SetInitialCentroids()
{
for (int n = 1; n <= _clusters.Length; n++)
{
var temp = new double[_set.InputSize];
for (int j = 0; j < temp.Length; j++)
{
temp[j] = (((GetMaxValue(j) - GetMinValue(j))/(_clusters.Length + 1))*n)
+ GetMinValue(j);
}
var c1 = new Centroid(temp);
_clusters[n - 1].Centroid = c1;
c1.Cluster = _clusters[n - 1];
}
}
/// <summary>
/// Calculate the euclidean distance between a centroid and data.
/// </summary>
///
/// <param name="c">The centroid to use.</param>
/// <param name="data">The data to use.</param>
/// <returns>The distance.</returns>
public static double CalculateEuclideanDistance(Centroid c,
IMLData data)
{
double[] d = data.Data;
double sum = c.Centers.Select((t, i) => Math.Pow(d[i] - t, 2)).Sum();
return Math.Sqrt(sum);
}
private void x318cf87d7d6afed3()
{
double[] numArray;
int num2;
int num = 1;
Label_0039:
if (num <= this._x0068961b43401a6f.Length)
{
numArray = new double[this._xa1ca3186bd369811.InputSize];
num2 = 0;
goto Label_008D;
}
return;
Label_0060:
numArray[num2] = (((this.xe6459878eee52706(num2) - this.x2cf6175701bf1768(num2)) / ((double) (this._x0068961b43401a6f.Length + 1))) * num) + this.x2cf6175701bf1768(num2);
num2++;
Label_008D:
if (num2 < numArray.Length)
{
goto Label_0060;
}
Centroid centroid = new Centroid(numArray);
this._x0068961b43401a6f[num - 1].Centroid = centroid;
if (8 == 0)
{
if ((((uint) num) + ((uint) num)) > uint.MaxValue)
{
goto Label_0039;
}
goto Label_0060;
}
centroid.Cluster = this._x0068961b43401a6f[num - 1];
num++;
goto Label_0039;
}
public static double CalculateEuclideanDistance(Centroid c, IMLData data)
{
double[] d = data.Data;
return Math.Sqrt(c.Centers.Select<double, double>((t, i) => Math.Pow(d[i] - t, 2.0)).Sum());
}