static void Main(string[] args)
{
int max = 100;
for (int i = 2; i < max + 1; i++)
{
Parser parser = new Parser("./WineData.csv");
KMeans kmeans = new KMeans();
List <Cluster> clusteredResult = kmeans.mainLoop(i, 10, parser.ParsedContent);
//foreach (Cluster cluster in clusteredResult){
// Console.Write((cluster.Id + 1).ToString() + " - " + cluster.Points.Count.ToString() + " : ");
// foreach (var point in cluster.Points){
// Console.Write(point.Id.ToString() + ", ");
// }
// Console.WriteLine();
//}
Console.WriteLine("SSE with " + i.ToString() + " centroid(s): " + SSE.CalculateSSE(clusteredResult).ToString());
}
}
public List <Cluster> mainLoop(int centroidCount, int iterations, List <Vector> data)
{
List <Cluster> clusters = Statics.InitCluster(centroidCount, Statics.InitCentroidsMark(centroidCount, data));//Statics.InitCentroids(centroidCount, data[0].Coordinates.Count));
List <Cluster> resultClusters = new List <Cluster>();
int currentIterations = 0;
while (currentIterations != iterations)
{
List <Cluster> clusters = Statics.InitCluster(centroidCount, Statics.InitCentroids(centroidCount, data[0].Coordinates.Count));//Statics.InitCentroidsMark(centroidCount, data));
while (true)
{
List <List <double> > oldCoordinates = new List <List <double> >();
foreach (Cluster cluster in clusters)
{
oldCoordinates.Add(cluster.Centroid.Coordinates);
}
step(data, clusters);
if (clusters.Select(c => c.Centroid.Coordinates).ToList().SequenceEqual(oldCoordinates))
{
if (resultClusters.Count == 0)
{
resultClusters = clusters;
}
else
{
if (SSE.CalculateSSE(resultClusters) > SSE.CalculateSSE(clusters))
{
resultClusters = clusters;
}
}
break;
}
}
currentIterations++;
}
return(resultClusters);
}