Sの中央値に最も近いk個の数を見つけるC++プログラム。ここで、Sはn個の数のセットです。

これは、Sの中央値に最も近いk個の数値を見つけるためのC ++プログラムです。ここで、Sはn個の数値のセットです。

アルゴリズム

Begin
   function partition() for partitioning the array on the basis of values at high as pivot value:
   Arguments:
      a[]=an array.
      l=low
   H=high
   Body of the function:
   Declare variables pivot, in, i
   Initialize in = l
   Set pivot = h
   For i=l to h-1
      if(a[i] < a[pivot])
         swap a[i] and a[in])
      increment in.
      swap a[pivot] and a[in]
   return in.
End
Begin
   function QuickSort() to implement quicksort algorithm to sort the data elements:
   Arguments:
      a[]=an array.
      l=low
      h=high
   Body of the function:
   declare pindex
   if(l < h)
      index = Partition(a, l, h)
      QuickSort(a, l, pindex-1);
      QuickSort(a, pindex+1, h);
   Return 0.
End
Begin
   Function main(),
   If the number of the data element are odd,
      Assign the middle index to low and the index next to it to high and calculate median.
      Run a loop for k times and print the element which his closer to the median.
   Else
      The median will be an average of two middle values .
      Run a loop for k times and print the element which his closer to the median.
End

例

#include<iostream>
using namespace std;
void swap(int *x, int *y) { //swapping two values 
   int tmp;
   tmp = *x;
   *x = *y;
   *y = tmp;
}
int Partition(int a[], int l, int h) {
   int pivot, in, i;
   in = l;
   pivot = h;
   for(i=l; i < h; i++) {
      if(a[i] < a[pivot]) {
         swap(&a[i], &a[in]);
         in++;
      }
   }
   swap(&a[pivot], &a[in]);
   return in;
}
int QuickSort(int a[], int l, int h) {
   int pindex;
   if(l < h) {
      pindex = Partition(a, l, h);
      QuickSort(a, l, pindex-1);
      QuickSort(a, pindex+1, h);
   }
   return 0;
}
int main() {
   int n, i, h, l, k;
   double d1,d2, median;
   cout<<"Enter the number of element in dataset: ";
   cin>>n;
   int a[n];
   for(i = 0; i < n; i++) {
      cout<<"\nEnter "<<i+1<<" element: ";
      cin>>a[i];
   }
   cout<<"\nEnter the number of element nearest to the median required: ";
   cin>>k;
   QuickSort(a, 0, n-1);
   cout<<"The K element nearest to the median are: ";
   if(n%2 == 1) {
      median = a[n/2];
      h = n/2+1;
      l= n/2;
      while(k > 0) {
         if((median-a[l] <= a[h]-median) && l >= 0) {
            cout<<" "<<a[l];
            l--;
            k--;
         } else if((median-a[l] > a[h]-median) && h <= n-1) {
            cout<<" "<<a[h];
            h++;
            k--;
         }
      }
   } else {
      d1 = a[n/2];
      d2 = a[n/2-1];
      median = (d1+d2)/2;
      h = n/2;
      l = n/2-1;
      while(k > 0) {
         d1 = a[l];
         d2 = a[h];
         if((median-d2 <= d1-median) && l >= 0) {
            cout<<" "<<a[l];
            l--;
            k--;
         } else if((median-d2 > d1-median) && h <= n-1) {
            cout<<" "<<a[h];
            h++;
            k--;
         }
      }
   }
   return 0;
}

出力

Enter the number of element in dataset: 7
Enter 1 element: 7
Enter 2 element: 6
Enter 3 element: 5
Enter 4 element: 4
Enter 5 element: 3
Enter 6 element: 2
Enter 7 element: 1
Enter the number of element nearest to the median required: 2
The K element nearest to the median are: 4 3