public GaussianNoiseDistance(IDistance <T> distance, float std)
{
distance.NullCheck();
(std >= 0).AssertTrue();
this.InnerDistance = distance;
this.StandardDeviation = std;
this.normal = new Normal(this.Mean, this.StandardDeviation);
}
public NGramSemanticGraphDistance(IDistance <float> e, Func <float, float> transform, float tolerance = 0F, float empty = 1F)
{
e.NullCheck();
transform.NullCheck();
this.TolerancePerNode = tolerance;
this.EmptyNodeWeight = empty;
this.ProbabilityDistace = e;
this.TransformFunction = transform;
}
public KMeans(IEnumerable <T[]> vectors, IDistance <T> func, int k, int[] centers)
{
vectors.NullCheck();
centers.NullCheck();
func.NullCheck();
(centers.Length == k).AssertTrue();
this.values = vectors.ToArray();
this.Function = func;
this.K = k;
this.centers = new Dictionary <T[], List <T[]> >();
foreach (var item in centers)
{
if (!this.centers.ContainsKey(this.values[item]))
{
this.centers.Add(this.values[item], new List <T[]>());
}
}
this.AssignToNewCenters();
}
