public XTVector(XTVector copy)
{
vector = new double[copy.vector.Length];
for (int i = 0; i < vector.Length; ++i)
{
vector[i] = copy.vector[i];
}
}
public static XTVector MinVector(int dimension)
{
XTVector v = new XTVector(dimension);
for (int i = 0; i < dimension; ++i)
{
v[i] = double.MinValue;
}
return v;
}
internal bool EqualsByValue(XTVector vect)
{
bool ret = true;
for (int i = 0; i < vector.Length; ++i)
{
ret = ret && (this[i] == vect[i]);
if (!ret) return false;
}
return ret;
}
public SimpleData(int x, int y)
{
Random r = new Random();
XTVector min = new XTVector(2);
XTVector max = new XTVector(2);
for (int i = 0; i < 2; ++i)
{
int z = r.Next(50) + 40;
min[i] = (i==0?x:y) - z / 2;
max[i] = min[i] + z / 2;
}
mbr = new MBR(min, max);
}
public MBR GetMBR()
{
XTVector min = new XTVector(gauss.Mean.Elements.Length);
XTVector max = new XTVector(gauss.Mean.Elements.Length);
for (int i = 0; i < min.Length; ++i)
{
double s = Math.Sqrt(gauss.Covariance.Covariance[i, i] * Math.Log(owner.RelevanceLevel) * (-2));
min[i] = gauss.Mean.Elements[i] - s;
max[i] = gauss.Mean.Elements[i] + s;
}
return new MBR(min, max);
}
