tar.gz
archive of your asg6/ directory, including:
README
file containing
Makefile
.h
headers and .cpp
source)
make clean
before tar
)
handin
notes
insert()
and
nn()
,
knn()
, and
range()
(query) functions
private
member functions:
kdNode* insert(kdNode* &,std::vector<P>&,const T&,const T&,int);
void nn(kdNode* &,T&,P&,double&);
void knn(kdNode* &,T&,std::vector<P>&,double&,int);
void range(kdNode* &,const T&,const T&,std::vector<P>&);
void clear(kdNode* &);
kdNode* clone(kdNode* ) const;
insert()
routine
prints out tree information as it is built (debugging info)
operator<<
output function prints the
tree contents via inorder traversal
main()
routine works unaltered:
#include <iostream>
#include <iomanip>
#include <vector>
using namespace std;
#include "point.h"
#include "tree.h"
// prototypes
int main(int argc, char **argv);
int main(int argc, char **argv)
{
Point *ptp = NULL;
std::vector<Point*> pts;
std::vector<Point*>::iterator pit;
kdTree<Point,Point*,PointAxisCompare> kdtree;
Point query(276,335);
Point *nearest;
double radius(0.0);
int k=3;
std::vector<Point*> knearest;
double x1=100, y1=-100;
double x2=400, y2=150;
Point min,max;
std::vector<Point*> range;
// read points in from file
while(std::cin >> (ptp = new Point(0.0,0.0))) pts.push_back(ptp);
// build kd-tree
kdtree.insert(pts,Point(-640,-480),Point(640,480));
// print kd-tree (in-order traversal)
std::cout << "kd-tree (in-order): " << std::endl << kdtree;
// nearest-neighbor
kdtree.nn(query,nearest,radius);
std::cout << "Point nearest to " << query << " is " << nearest << std::endl;
// k nearest-neighbors
kdtree.knn(query,knearest,radius,k);
std::cout << k << " points nearest to " << query << " are " << std::endl;
for(pit=knearest.begin(); pit!=knearest.end(); pit++)
std::cout << *pit << std::endl;
// range query points may be disorganized, i.e., user may have started out
// at bottom-right, top-right, whatever; sort out into minx, maxx, miny, maxy
// bounding box s.t. top-left is (minx,miny)
min[0] = x1 < x2 ? x1 : x2; max[0] = x1 > x2 ? x1 : x2;
min[1] = y1 < y2 ? y1 : y2; max[1] = y1 > y2 ? y1 : y2;
kdtree.range(min,max,range);
std::cout << " points in range " << min << "," << max << " are " << std::endl;
for(pit=range.begin(); pit!=range.end(); pit++)
std::cout << *pit << std::endl;
// clean up (proper deletion)
kdtree.clear();
for(pit=pts.begin(); pit!=pts.end(); pit=pts.erase(pit))
if(*pit) delete *pit;
}
-478.00000000 171.00000000 -258.00000000 37.00000000 14.00000000 105.00000000 -320.00000000 -147.00000000 304.00000000 149.00000000 140.00000000 -31.00000000
depth: 0 size: 6 -478.00, 171.00 -320.00, -147.00 -258.00, 37.00 14.00, 105.00 140.00, -31.00 304.00, 149.00 depth: 1 size: 3 -320.00, -147.00 -258.00, 37.00 -478.00, 171.00 depth: 2 size: 1 -320.00, -147.00 depth: 2 size: 1 -478.00, 171.00 depth: 1 size: 2 140.00, -31.00 304.00, 149.00 depth: 2 size: 1 140.00, -31.00 kd-tree (in-order): -320.00, -147.00 -258.00, 37.00 -478.00, 171.00 14.00, 105.00 140.00, -31.00 304.00, 149.00 Point nearest to 276.00, 335.00 is 304.00, 149.00 3 points nearest to 276.00, 335.00 are 304.00, 149.00 14.00, 105.00 140.00, -31.00 points in range 100.00, -100.00,400.00, 150.00 are 304.00, 149.00 140.00, -31.00
knn
query, be sure to store
nodes in the resultant vector in order sorted
on distance to the query point; you will likely
need to use the STL vector's
insert(iterator position, size_type n, const T& x);function to do this