private static bool TrainOnDataSet(IList <float[]> dataSet, IList <int[]> expectedClusters)
{
var competativeNeuralNet = new UnsupervisedCompetativeNeuralNet(dataSet.First().Length,
expectedClusters.Count(), LearningRate, BiasLearningRate);
for (var i = 0; i < MaxTries; i++)
{
competativeNeuralNet.Train(dataSet);
if (ValidateClusters(dataSet, expectedClusters, competativeNeuralNet))
{
return(true);
}
}
foreach (var item in dataSet)
{
var cluster = competativeNeuralNet.GetCluster(item);
Console.WriteLine("{0} = {1}", item, cluster);
}
return(false);
}
private static bool ValidateClusters(IList <float[]> dataSet, IEnumerable <int[]> expectedClusters, UnsupervisedCompetativeNeuralNet neuralNet)
{
return(expectedClusters
.All(expectedCluster =>
expectedCluster.GroupBy(x => neuralNet.GetCluster(dataSet[x])).Count() == 1));
}