static void ClusterPoints()
{
var points = Enumerable.Range(0, 100)
.Select(_ => Enumerable.Range(1, 3).Select(i => RandomUtility.NextDouble(0, i)).ToArray())
.ToArray();
var records = points
.Select((p, i) => new Record <int> {
Element = i, Features = p,
})
.ToArray();
var clustering = new KMeans <int>(10, 20);
var clusters = clustering.Train(records);
foreach (var cluster in clusters)
{
Console.WriteLine(cluster.Key);
Array.ForEach(cluster.Value, r => Console.WriteLine(FeaturesHelper.ToString(r.Features)));
}
}
string ToDebugString()
{
return(string.Format("{0}: {1}", Element, FeaturesHelper.ToString(Features)));
}
string ToDebugString()
{
return(string.Format("{0}: {1}: {2} records", Id, FeaturesHelper.ToString(Centroid), Records.Count));
}
