public void Recalculate(
ISign <double>[] signs,
Region[] includedRegions,
ICenterDeterminingAlgorithm <double> centerDeterminingAlgorithm)
{
if (includedRegions.Length > 0)
{
ICollection <KeyValuePair <Region, double[]> > regionsSigns =
new Collection <KeyValuePair <Region, double[]> >();
foreach (Region region in includedRegions)
{
regionsSigns.Add(new KeyValuePair <Region, double[]>(
region, signs.Select(sign => sign.Calculate(region)).ToArray()));
}
SignsValues = new double[signs.Length];
//for (int signIndex = 0; signIndex < signs.Length; signIndex++)
//{
// SignsValues[signIndex] = centerDeterminingAlgorithm.Calculate(
// regionsSigns.Select(e => e[signIndex]).ToArray());
//}
}
}
public Kmedian(
int clustersNumber,
ISign <double>[] signs,
IClusteringDistance <double> distance,
IStartSignsVectorGenerator startSignVectorGenerator,
ICenterDeterminingAlgorithm <double> centerDeterminingAlgorithm)
{
if (signs == null)
{
throw new ArgumentNullException("signs");
}
if (distance == null)
{
throw new ArgumentNullException("distance");
}
if (startSignVectorGenerator == null)
{
throw new ArgumentNullException("startSignVectorGenerator");
}
if (centerDeterminingAlgorithm == null)
{
throw new ArgumentNullException("centerDeterminingAlgorithm");
}
this.clustersNumber = clustersNumber;
this.signs = signs;
this.distance = distance;
this.startSignVectorGenerator = startSignVectorGenerator;
this.centerDeterminingAlgorithm = centerDeterminingAlgorithm;
}
