ClusterF_ck is a .NET Cluster Analysis library. It contains a wide variety of algorithms for Cluster Analysis, and their varieties.
ClusterF_ck is prounced Cluster F. U. C. K. (The U stands for underline).
The code below will use KMeans to cluster the points {0, 1, 8, 10, 12, 22, 24} where k = 3.
using ClusterF_ck.Shapes;
// Make an alias "KM" for the static class KMeans, which contains the KMeans clustering methods.
using KM = ClusterF_ck.KMeans.KMeans;
int k = 3;
double[] points = new double[] {0, 1, 8, 10, 12, 22, 24};
KMeansCluster<double, DoubleShape>[] clusters = KM.Cluster<double, DoubleShape>(points, k);The value of clusters will be 3 clusters containing the points {0, 1}, {8, 10, 12}, and {22, 24}.
The namespace ClusterF_ck.Shapes is included because it contains a collection of ISpace<T> implementations that can be used to compare points. Currently (as of 2023-08-26), it only contains definitions of Euclidean space for float, double, Vector2, Vector3, and Vector4. If you want to cluster over a different type or in a Non-Euclidean space, you can always define your own ISpace<T>.
You can learn more about cluster analysis, the ClusterF_ck interfaces, and fine more samples in the ClusterF_ck Wiki.