KmeansTrainResult <T> Training()
{
var ThisGen = FirstGeneration;
for (int Iteration = 0; Iteration < IterationLimit; Iteration++)
{
ClassifyUntrainedData(ThisGen);
var NextGen = GenerateNextIteration(ThisGen);
OnIteration?.Invoke(ThisGen, Iteration);
float LongestDistance = CalcLongestDistance(ThisGen, NextGen);
if (LongestDistance < ConvDistance)
{
Console.WriteLine("Iteration:{0}, LongestDistance:{1} < {2}, Done", Iteration, LongestDistance, ConvDistance);
break;
}
else
{
Console.WriteLine("Iteration:{0}, LongestDistance:{1} > {2}, Continue...", Iteration, LongestDistance, ConvDistance);
ThisGen = NextGen;
}
}
foreach (var vectorCollection in ThisGen)
{
vectorCollection.Tag = vectorCollection.GetMostTag();
}
var trainResult = new KmeansTrainResult <T>(ThisGen.Select(x => x.Center));
return(trainResult);
}
public Kmeans(KmeansTrainResult <T> trainResult)
{
TrainedResult = trainResult;
}
