Árbol dimensional K | Grupo 3 (Borrar)

Recomendamos encarecidamente consultar las publicaciones a continuación como requisito previo para esto.
Árbol dimensional K | Conjunto 1 (Buscar e insertar)  
K Árbol dimensional | Conjunto 2 (Buscar mínimo)
En esta publicación se discute la eliminación. La operación es eliminar un punto dado de KD Tree.

Al igual que la eliminación del árbol de búsqueda binaria, recorremos recursivamente hacia abajo y buscamos el punto que se eliminará. A continuación se muestran los pasos que se siguen para cada Node visitado.

C++

// A C++ program to demonstrate delete in K D tree
#include<bits/stdc++.h>
using namespace std;
  
const int k = 2;
  
// A structure to represent node of kd tree
struct Node
{
    int point[k]; // To store k dimensional point
    Node *left, *right;
};
  
// A method to create a node of K D tree
struct Node* newNode(int arr[])
{
    struct Node* temp = new Node;
  
    for (int i=0; i<k; i++)
        temp->point[i] = arr[i];
  
    temp->left = temp->right = NULL;
    return temp;
}
  
// Inserts a new node and returns root of modified tree
// The parameter depth is used to decide axis of comparison
Node *insertRec(Node *root, int point[], unsigned depth)
{
    // Tree is empty?
    if (root == NULL)
        return newNode(point);
  
    // Calculate current dimension (cd) of comparison
    unsigned cd = depth % k;
  
    // Compare the new point with root on current dimension 'cd'
    // and decide the left or right subtree
    if (point[cd] < (root->point[cd]))
        root->left = insertRec(root->left, point, depth + 1);
    else
        root->right = insertRec(root->right, point, depth + 1);
  
    return root;
}
  
// Function to insert a new point with given point in
// KD Tree and return new root. It mainly uses above recursive
// function "insertRec()"
Node* insert(Node *root, int point[])
{
    return insertRec(root, point, 0);
}
  
// A utility function to find minimum of three integers
Node *minNode(Node *x, Node *y, Node *z, int d)
{
    Node *res = x;
    if (y != NULL && y->point[d] < res->point[d])
       res = y;
    if (z != NULL && z->point[d] < res->point[d])
       res = z;
    return res;
}
  
// Recursively finds minimum of d'th dimension in KD tree
// The parameter depth is used to determine current axis.
Node *findMinRec(Node* root, int d, unsigned depth)
{
    // Base cases
    if (root == NULL)
        return NULL;
  
    // Current dimension is computed using current depth and total
    // dimensions (k)
    unsigned cd = depth % k;
  
    // Compare point with root with respect to cd (Current dimension)
    if (cd == d)
    {
        if (root->left == NULL)
            return root;
        return findMinRec(root->left, d, depth+1);
    }
  
    // If current dimension is different then minimum can be anywhere
    // in this subtree
    return minNode(root,
               findMinRec(root->left, d, depth+1),
               findMinRec(root->right, d, depth+1), d);
}
  
// A wrapper over findMinRec(). Returns minimum of d'th dimension
Node *findMin(Node* root, int d)
{
    // Pass current level or depth as 0
    return findMinRec(root, d, 0);
}
  
// A utility method to determine if two Points are same
// in K Dimensional space
bool arePointsSame(int point1[], int point2[])
{
    // Compare individual pointinate values
    for (int i = 0; i < k; ++i)
        if (point1[i] != point2[i])
            return false;
  
    return true;
}
  
// Copies point p2 to p1
void copyPoint(int p1[], int p2[])
{
   for (int i=0; i<k; i++)
       p1[i] = p2[i];
}
  
// Function to delete a given point 'point[]' from tree with root
// as 'root'.  depth is current depth and passed as 0 initially.
// Returns root of the modified tree.
Node *deleteNodeRec(Node *root, int point[], int depth)
{
    // Given point is not present
    if (root == NULL)
        return NULL;
  
    // Find dimension of current node
    int cd = depth % k;
  
    // If the point to be deleted is present at root
    if (arePointsSame(root->point, point))
    {
        // 2.b) If right child is not NULL
        if (root->right != NULL)
        {
            // Find minimum of root's dimension in right subtree
            Node *min = findMin(root->right, cd);
  
            // Copy the minimum to root
            copyPoint(root->point, min->point);
  
            // Recursively delete the minimum
            root->right = deleteNodeRec(root->right, min->point, depth+1);
        }
        else if (root->left != NULL) // same as above
        {
            Node *min = findMin(root->left, cd);
            copyPoint(root->point, min->point);
            root->right = deleteNodeRec(root->left, min->point, depth+1);
        }
        else // If node to be deleted is leaf node
        {
            delete root;
            return NULL;
        }
        return root;
    }
  
    // 2) If current node doesn't contain point, search downward
    if (point[cd] < root->point[cd])
        root->left = deleteNodeRec(root->left, point, depth+1);
    else
        root->right = deleteNodeRec(root->right, point, depth+1);
    return root;
}
  
// Function to delete a given point from K D Tree with 'root'
 Node* deleteNode(Node *root, int point[])
{
   // Pass depth as 0
   return deleteNodeRec(root, point, 0);
}
  
// Driver program to test above functions
int main()
{
    struct Node *root = NULL;
    int points[][k] = {{30, 40}, {5, 25}, {70, 70},
                      {10, 12}, {50, 30}, {35, 45}};
  
    int n = sizeof(points)/sizeof(points[0]);
  
    for (int i=0; i<n; i++)
        root = insert(root, points[i]);
  
    // Delete (30, 40);
    root = deleteNode(root, points[0]);
  
    cout << "Root after deletion of (30, 40)\n";
    cout << root->point[0] << ", " << root->point[1] << endl;
  
    return 0;
}

Publicación traducida automáticamente

Artículo escrito por GeeksforGeeks-1 y traducido por Barcelona Geeks. The original can be accessed here. Licence: CCBY-SA

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