static List <double> GaussianRadiusDistances(int n, int dimensions, int maxCoordinate, int sigma)
{
var center = Enumerable.Range(0, dimensions).Select(i => maxCoordinate / 2).ToArray();
var deviations = Enumerable.Range(0, dimensions).Select(i => (double)sigma).ToArray();
var affectedIndices = Enumerable.Range(0, dimensions).ToArray();
var generator = new EllipsoidalGenerator(center, deviations, affectedIndices);
var tempPoint = new int[dimensions];
var centerPoint = new UnsignedPoint(center);
var points = Enumerable.Range(0, n).Select(i => new UnsignedPoint(generator.Generate(tempPoint))).ToList();
var distances = points.Select(p => centerPoint.Distance(p)).OrderBy(dist => dist).ToList();
return(distances);
}
public ClusterRadius(IList <UnsignedPoint> points)
{
Centroid = UnsignedPoint.Centroid(points);
var radiusSum = 0.0;
MaximumRadius = 0;
foreach (var point in points)
{
var distance = Centroid.Distance(point);
MaximumRadius = Math.Max(MaximumRadius, distance);
radiusSum += distance;
}
if (points.Count > 0)
{
MeanRadius = radiusSum / points.Count;
}
}
