public ProcessedResults Reduce(IEnumerable <ProcessedResults> elements)
{
List <PartialMean> aggregatedMeans = new List <PartialMean>();
List <PartialMean> totalList = new List <PartialMean>();
float aggregatedLoss = 0;
foreach (var element in elements)
{
totalList.AddRange(element.Means);
aggregatedLoss += element.Loss;
}
// we infer the value of K from the labeled data
int clustersNum = totalList.Max(p => p.Mean.Label) + 1;
for (int i = 0; i < clustersNum; i++)
{
List <PartialMean> means = totalList.Where(m => m.Mean.Label == i).ToList();
PartialMean aggregatedPartialMean = PartialMean.AggregatedPartialMean(means);
aggregatedMeans.Add(new PartialMean(aggregatedPartialMean.Mean, aggregatedPartialMean.Size));
}
ProcessedResults returnMeans = new ProcessedResults(aggregatedMeans, aggregatedLoss);
Logger.Log(Level.Info, "The true means aggregated by the reduce function: " + returnMeans);
return(returnMeans);
}
