【算法笔记】A1063 Set Similarity

本文介绍了一个算法,用于计算两个整数集合之间的相似度。通过计算共同元素的数量与总不重复元素数量的比例,来衡量两个集合的相似程度。文章提供了一个具体的代码实现,包括输入测试用例、处理集合数据和输出相似度百分比。

 

1063 Set Similarity (25 分)
 

Given two sets of integers, the similarity of the sets is defined to be /, where Nc​​ is the number of distinct common numbers shared by the two sets, and Nt​​ is the total number of distinct numbers in the two sets. Your job is to calculate the similarity of any given pair of sets.

Input Specification:

Each input file contains one test case. Each case first gives a positive integer N (≤) which is the total number of sets. Then N lines follow, each gives a set with a positive M (≤) and followed by M integers in the range [0]. After the input of sets, a positive integer K (≤) is given, followed by K lines of queries. Each query gives a pair of set numbers (the sets are numbered from 1 to N). All the numbers in a line are separated by a space.

Output Specification:

For each query, print in one line the similarity of the sets, in the percentage form accurate up to 1 decimal place.

Sample Input:

3
3 99 87 101
4 87 101 5 87
7 99 101 18 5 135 18 99
2
1 2
1 3

Sample Output:

50.0%
33.3%

题意:

  比较两个set<int>集合的相似度。

code:

 1 #include<bits/stdc++.h>
 2 using namespace std;
 3 vector<set<int> > sets;
 4 int main(){
 5     int n,m,k,a1,a2;
 6     scanf("%d",&n);
 7     sets.resize(n);
 8     for (int i = 0; i < n; i++)
 9     {
10         scanf("%d",&m);
11         set<int> temp;
12         for (int j=0;j<m;j++)
13         {
14             int num;
15             scanf("%d",&num);
16             temp.insert(num);
17         }
18         sets[i]=temp;
19     }
20     scanf("%d",&k);
21     for (int i=0;i<k;i++)
22     {
23         scanf("%d %d",&a1,&a2);
24         int nc=0,nt = sets[a2-1].size();
25         for (auto it=sets[a1-1].begin();it!=sets[a1-1].end();it++)
26         {
27             if (sets[a2-1].find(*it)==sets[a2-1].end())
28                 nt++;
29             else
30                 nc++;
31         }
32         printf("%.1lf%%\n",(double)nc/nt*100);
33     }
34     return 0;
35 }

 

转载于:https://www.cnblogs.com/chunlinn/p/10709808.html

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