if(firstkNN<kNN) { if(print) System.out.println("K(a): "+(heap.size()+heap.noOfKthNearest())); distance = m_DistanceFunction.distance(target, m_Instances.instance(i), Double.POSITIVE_INFINITY, m_Stats); MyHeapElement temp = heap.peek(); if(print) System.out.println("K(b): "+(heap.size()+heap.noOfKthNearest())); distance = m_DistanceFunction.distance(target, m_Instances.instance(i), temp.distance, m_Stats); if(distance == 0.0 && m_SkipIdentical) Instances neighbours = new Instances(m_Instances, (heap.size()+heap.noOfKthNearest())); m_Distances = new double[heap.size()+heap.noOfKthNearest()]; int [] indices = new int[heap.size()+heap.noOfKthNearest()]; int i=1; MyHeapElement h; while(heap.noOfKthNearest()>0) { i++; while(heap.size()>0) { h = heap.get(); indices[indices.length-i] = h.index;
if(firstkNN<kNN) { if(print) System.out.println("K(a): "+(heap.size()+heap.noOfKthNearest())); distance = m_DistanceFunction.distance(target, m_Instances.instance(i), Double.POSITIVE_INFINITY, m_Stats); if(distance == 0.0 && m_SkipIdentical) MyHeapElement temp = heap.peek(); if(print) System.out.println("K(b): "+(heap.size()+heap.noOfKthNearest())); distance = m_DistanceFunction.distance(target, m_Instances.instance(i), temp.distance, m_Stats); if(distance == 0.0 && m_SkipIdentical) Instances neighbours = new Instances(m_Instances, (heap.size()+heap.noOfKthNearest())); m_Distances = new double[heap.size()+heap.noOfKthNearest()]; int [] indices = new int[heap.size()+heap.noOfKthNearest()]; int i=1; MyHeapElement h; while(heap.noOfKthNearest()>0) { i++; while(heap.size()>0) { h = heap.get(); indices[indices.length-i] = h.index;
if (heap.size() < k) { distance = m_EuclideanDistance.distance(target, m_Instances .instance(m_InstList[idx]), Double.POSITIVE_INFINITY, m_Stats); if (heap.size() < k) { // if haven't found the first k double distanceToSplitPlane = distanceToParents + m_EuclideanDistance.sqDifference(node.m_SplitDim, target
if (heap.size() < k) { distance = m_EuclideanDistance.distance(target, m_Instances .instance(m_InstList[idx]), Double.POSITIVE_INFINITY, m_Stats); if (heap.size() < k) { // if haven't found the first k double distanceToSplitPlane = distanceToParents + m_EuclideanDistance.sqDifference(node.m_SplitDim, target
m_Stats.searchFinish(); Instances neighbours = new Instances(m_Instances, (heap.size() + heap .noOfKthNearest())); m_DistanceList = new double[heap.size() + heap.noOfKthNearest()]; int[] indices = new int[heap.size() + heap.noOfKthNearest()]; int i = indices.length - 1; MyHeapElement h; i--; while (heap.size() > 0) { h = heap.get(); indices[i] = h.index;
m_Stats.searchFinish(); Instances neighbours = new Instances(m_Instances, (heap.size() + heap .noOfKthNearest())); m_DistanceList = new double[heap.size() + heap.noOfKthNearest()]; int[] indices = new int[heap.size() + heap.noOfKthNearest()]; int i = indices.length - 1; MyHeapElement h; i--; while (heap.size() > 0) { h = heap.get(); indices[i] = h.index;
i++; while(heap.size()>0) { h = heap.get(); indices[indices.length-i] = h.index;
i++; while(heap.size()>0) { h = heap.get(); indices[indices.length-i] = h.index;
/** * returns the total size. * * @return the total size */ public int totalSize() { return size() + noOfKthNearest(); }
/** * returns the total size. * * @return the total size */ public int totalSize() { return size() + noOfKthNearest(); }