private static double CalculateDistanceToCentroid(KMeansEntity entity, KMeansEntity centroid)
{
var squaredDistance = 0d;
for (var i = 0; i < centroid.Arguments.Count; i++)
{
squaredDistance += Math.Pow(centroid.Arguments[i] - entity.Arguments[i], 2);
}
var distance = Math.Sqrt(squaredDistance);
return(distance);
}
private void InitRandom(List <KMeansEntity> data)
{
for (var i = 0; i < clusterCount; i++)
{
var randomlySelectedPoint = data[rnd.Next(0, data.Count)];
var centroid = new KMeansEntity
{
Label = $"centroid_{i}",
ClusterId = i
};
foreach (var argument in randomlySelectedPoint.Arguments)
{
centroid.Arguments.Add(argument);
}
centroids.Add(centroid);
}
UpdateClustering(data);
}
