internal static IMathPoint MeanPoint(IMathPoint p, IMathPoint c)
{
DataMiningMath.MetricEquals(p, c);
IMathPoint meanPoint = c.Clone() as IMathPoint;
for (Int32 i = 0; i < c.CoordinatesCount; i++)
{
meanPoint[i] = 0.5 * (p[i] + c[i]);
}
return(meanPoint);
}
internal static List <IMathPoint> GetRandomClusterCenters(IMathPoint minPoint, IMathPoint maxPoint, ClusteringOptions options)
{
Random rnd = new Random();
List <IMathPoint> startClusterPoints = new List <IMathPoint>(options.ClusterCount);
// обход центров кластеризации:
for (Int32 i = 0; i < options.ClusterCount; i++)
{
startClusterPoints.Add((IMathPoint)minPoint.Clone());
// обход координат центра кластеризации:
for (Int32 c = 0; c < startClusterPoints[i].CoordinatesCount; c++)
{
startClusterPoints[i][c] = rnd.NextDouble() * (maxPoint[c] - minPoint[c]) + minPoint[c];
}
startClusterPoints[i].Class = string.Format("class {0}", i + 1);
startClusterPoints[i].Cluster = string.Format("cluster {0}", i + 1);
}
return(startClusterPoints);
}