private void ExpandClusterOrder(VectorDataOptics pointDBS)
{
var neighbors = kdTree.PointsWithinRadiusOfWithDistance(pointDBS, Epsilon);
pointDBS.Visited = true;
pointDBS.ReachabilityDistance = double.PositiveInfinity;
pointDBS.SetCoreDistance(neighbors, Epsilon, MinPts);
clusterOrdering.Add(pointDBS);
if (!double.IsPositiveInfinity(pointDBS.CoreDistance))
{
var orderSeeds = new PriorityQueue<VectorDataOptics>();
Update(neighbors, pointDBS, orderSeeds);
while (orderSeeds.IsEmpty() == false)
{
var currentObject = orderSeeds
.Poll();
var neighborsCurrent = kdTree
.PointsWithinRadiusOfWithDistance(pointDBS, Epsilon);
currentObject.Visited = true;
currentObject.SetCoreDistance(neighborsCurrent, Epsilon, MinPts);
clusterOrdering.Add(currentObject);
if (!double.IsPositiveInfinity(currentObject.CoreDistance))
{
Update(neighborsCurrent, currentObject, orderSeeds);
}
}
}
}
public void TestPoll2()
{
var queue = new PriorityQueue<string>();
var poll = queue.Poll();
Assert.IsNull(poll);
}
public void TestPoll1()
{
var queue = new PriorityQueue<string> { "string", "anotherString" };
var poll = queue.Poll();
Assert.AreEqual(1, queue.Count);
Assert.AreEqual("anotherString", poll);
Assert.IsFalse(queue.Contains("anotherString"));
}
