public override bool isAnomaly(Timeseries ts, correlatedFeatures cf, int timeStep)
{
if (cf.corrlation > circThreshold)
{
var Column1 = ts.GetColumn(cf.feature1);
var Column2 = ts.GetColumn(cf.feature2);
Point currPoint = new Point(Column1[timeStep], Column2[timeStep]);
//Point point = cf.center
return(Circle_Util.distanceBetweenPoints(currPoint, cf.center) > cf.threshold * 1.1);
}
return(false);
}
public override void addCorrelation(Timeseries ts, string feat1, string feat2, float pearson)
{
if (pearson > circThreshold)
{
correlatedFeatures correlation = new correlatedFeatures();
correlation.feature1 = feat1;
correlation.feature2 = feat2;
correlation.corrlation = pearson;
var Column1 = ts.GetColumn(feat1);
var Column2 = ts.GetColumn(feat2);
var points = Timeseries.CombineColumns(Column1, Column2);
Circle welzlCirc = Circle_Util.welzl(points, new List <Point>());
correlation.center = welzlCirc.center;
correlation.threshold = welzlCirc.radius;
cf.Add(correlation);
}
}
static public Circle welzl(List <Point> p, List <Point> r)
{
if (p.Count == 0 || r.Count == 3)
{
return(Circle_Util.findTrivialCircle(r, 3));
}
Point p0 = p[0];
p.RemoveAt(0);
Circle tmp = welzl(p, r);
if (pointInCircle(p0, tmp))
{
return(tmp);
}
r.Add(p0);
return(welzl(p, r));
}
