public Cluster(point CentroidCoordinates,int []color)
{
this.p.x = CentroidCoordinates.x;
this.p.y = CentroidCoordinates.y;
this.color[0] = color[0];
this.color[1] = color[1];
this.color[2] = color[2];
}
bool isFound(List<Cluster> pool, point val)
{
for (int i = 0; i < pool.Count; i++)
{
if (pool[i].p.x == val.x && pool[i].p.y == val.y)
return true;
}
return false;
}
int calculateDistance(point p, point c)
{
double d = Math.Sqrt(Math.Pow((p.x - c.x), 2) + Math.Pow((p.y - c.y), 2));
return Convert.ToInt32(d);
}
// calculate mean to generate new centroid
point calculateMean(List<point> p)
{
point tmpPoint = new point();
int sumX = 0, sumY = 0;
for (int i = 0; i < p.Count; i++)
{
sumX += p[i].x;
sumY += p[i].y;
}
if (p.Count != 0)
{
tmpPoint.x = sumX / p.Count;
tmpPoint.y = sumY / p.Count;
}
else
{
tmpPoint.x = 0;
tmpPoint.y = 0;
}
return tmpPoint;
}