private int GetNearestCluster(GenericVector v)
{
return(_centroids
.OrderBy(centroid => GenericVector.Distance(centroid.Value, v))
.Select(centroid => centroid.Key)
.First());
}
public void TestGenericVector()
{
var a = new GenericVector(4, 4);
var b = new GenericVector(6, 6);
Assert.Equal(GenericVector.Distance(a, b), Math.Sqrt(8.0));
var c = GenericVector.Sum(a, new GenericVector(6, 6));
var d = GenericVector.Sum(b, new GenericVector(4, 4));
Assert.Equal(GenericVector.Distance(c, d), 0);
}
private List <ClusterPoint> RegionQuery(GenericVector point)
{
var neighbours = new List <ClusterPoint>();
foreach (var clusterPoint in _dataSet)
{
if (GenericVector.Distance(point, clusterPoint.Vector) <= _radius)
{
neighbours.Add(clusterPoint);
}
}
return(neighbours);
}
private List <ClusterPoint> GetNeighbours(GenericVector point)
{
var neighbours = new List <ClusterPoint>();
foreach (var cluster in _trainingData)
{
foreach (var trainingPoint in cluster.Value)
{
Console.WriteLine($"Distance {GenericVector.Distance(point, trainingPoint)}");
if (GenericVector.Distance(point, trainingPoint) < _radius)
{
neighbours.Add(new ClusterPoint(trainingPoint, cluster.Key));
}
}
}
Console.WriteLine($"Neighbours: {neighbours.Count}");
return(neighbours);
}
public override int ClassifyPoint(GenericVector point)
{
var nearestPoints = new PriorityQue <ClusterPoint>();
foreach (var cluster in _trainingData)
{
foreach (var clusterPoint in cluster.Value)
{
var distanceToClusterPoint = GenericVector.Distance(point, clusterPoint);
if (nearestPoints.Count < _k)
{
nearestPoints.Insert(distanceToClusterPoint, new ClusterPoint(clusterPoint, cluster.Key));
}
else if (distanceToClusterPoint < nearestPoints.Peek().Priority)
{
nearestPoints.Pop();
nearestPoints.Insert(distanceToClusterPoint, new ClusterPoint(clusterPoint, cluster.Key));
}
}
}
return(GetBiggestCluster(nearestPoints));
}
