ball_algorithm.h File Reference

#include "gstlearn_export.hpp"
#include "Tree/KNN.hpp"
#include "Basic/VectorNumT.hpp"
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <limits.h>
#include <math.h>
#include <float.h>
#include <sys/stat.h>
#include <time.h>

Classes
struct	t_nheap
struct	t_nodedata
struct	t_btree

Macros
#define	TRUE   1
#define	FALSE   0

Functions
GSTLEARN_EXPORT double **	copy_double_arrAsVVD (const VectorVectorDouble &arr)
GSTLEARN_EXPORT double **	copy_double_arr (const double **arr, int row, int col)
GSTLEARN_EXPORT int **	copy_int_arr (const int **arr, int row, int col)
GSTLEARN_EXPORT t_btree *	btree_init (const double **data, int n_samples, int n_features, int leaf_size, int dist_type)
GSTLEARN_EXPORT void	free_2d_double (double **arr, int row)
GSTLEARN_EXPORT void	free_2d_int (int **arr, int row)
GSTLEARN_EXPORT void	free_tree (t_btree *tree)
GSTLEARN_EXPORT void	finalize_tree (t_btree *tree)
GSTLEARN_EXPORT void	btree_display (const t_btree *tree, int level=-1)
double	manhattan_dist (const double *x1, const double *x2, int size)
double	euclidean_dist (const double *x1, const double *x2, int size)
t_nheap *	nheap_init (int n_pts, int n_nbrs)
double	nheap_largest (t_nheap *h, int row)
int	nheap_push (t_nheap *h, int row, double val, int i_val)
void	nheap_sort (t_nheap *h)
void	nheap_load (t_nheap *heap, t_btree *b, const double **x)
double	min_dist (t_btree *tree, int i_node, const double *pt)
int	query_depth_first (t_btree *b, int i_node, const double *pt, int i_pt, t_nheap *heap, double dist)

Macro Definition Documentation

FALSE

#define FALSE   0

TRUE

#define TRUE   1

Function Documentation

btree_display()

GSTLEARN_EXPORT void btree_display	(	const t_btree *	tree,
		int	level = -1
	)

btree_init()

GSTLEARN_EXPORT t_btree* btree_init	(	const double **	data,
		int	n_samples,
		int	n_features,
		int	leaf_size,
		int	dist_type
	)

copy_double_arr()

GSTLEARN_EXPORT double** copy_double_arr	(	const double **	arr,
		int	row,
		int	col
	)

copy_double_arrAsVVD()

GSTLEARN_EXPORT double** copy_double_arrAsVVD

(

const VectorVectorDouble &

arr

)

copy_int_arr()

GSTLEARN_EXPORT int** copy_int_arr	(	const int **	arr,
		int	row,
		int	col
	)

euclidean_dist()

double euclidean_dist	(	const double *	x1,
		const double *	x2,
		int	size
	)

Returns the Standard distance between two points

Parameters

x1	Vector of coordinates for the first point
x2	Vector of coordinates for the second point
size	Number of coordinates

Returns

finalize_tree()

GSTLEARN_EXPORT void finalize_tree

(

t_btree *

tree

)

free_2d_double()

GSTLEARN_EXPORT void free_2d_double	(	double **	arr,
		int	row
	)

free_2d_int()

GSTLEARN_EXPORT void free_2d_int	(	int **	arr,
		int	row
	)

free_tree()

GSTLEARN_EXPORT void free_tree

(

t_btree *

tree

)

manhattan_dist()

double manhattan_dist	(	const double *	x1,
		const double *	x2,
		int	size
	)

Returns the Manhattan distance between two points

Parameters

x1	Vector of coordinates for the first point
x2	Vector of coordinates for the second point
size	Number of coordinates

Returns

min_dist()

double min_dist	(	t_btree *	tree,
		int	i_node,
		const double *	pt
	)

nheap_init()

t_nheap* nheap_init	(	int	n_pts,
		int	n_nbrs
	)

nheap_largest()

double nheap_largest	(	t_nheap *	h,
		int	row
	)

nheap_load()

void nheap_load	(	t_nheap *	heap,
		t_btree *	b,
		const double **	x
	)

nheap_push()

int nheap_push	(	t_nheap *	h,
		int	row,
		double	val,
		int	i_val
	)

nheap_sort()

void nheap_sort

(

t_nheap *

h

)

query_depth_first()

int query_depth_first	(	t_btree *	b,
		int	i_node,
		const double *	pt,
		int	i_pt,
		t_nheap *	heap,
		double	dist
	)