public void LearnHelper(TimeSeries ts, float p /*pearson*/, string f1, string f2, Point[] ps)
{
base.LearnHelper(ts, p, f1, f2, ps);
if (p > 0.5 && p < maxC)
{
MinCircle circ = new MinCircle();
Circle circle = circ.findMinCircle(ps, ts.getNumOfTimesteps());
correlatedFeatures c = new correlatedFeatures(f1, f2, p, null, circle.radius * (float)1.1);
c.CX = circle.center.x;
c.CY = circle.center.y;
base.CF.Add(c);
}
}
