1063 Set Similarity (25 分)(set以及STL的应用)

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,通过计算共同元素与总元素的比例来衡量集合间的相似程度。

摘要生成于 C知道 ,由 DeepSeek-R1 满血版支持, 前往体验 >

1063 Set Similarity (25 分)

Given two sets of integers, the similarity of the sets is defined to be N​c​​/N​t​​ ×100%, where N​c is the number of distinct common numbers shared by the two sets, and N​t 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 (≤50) which is the total number of sets. Then N lines follow, each gives a set with a positive M (≤10​4​​ ) and followed by M integers in the range [0,10​9​​ ]. After the input of sets, a positive integer K (≤2000) 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%

题目大意:
本题定义集合相似度Nc/Nt*100%,其中Nc是两个集合中共有的不相等元素个数,Nt是两个集合中不相等元素的个数。你的任务是计算给定的集合的相似度。

#include <iostream>
#include <vector>
#include <set>
using namespace std;

int main(){
	int n;
	cin>>n;
	vector<set<int> > v(n);
	for(int i=0;i<n;i++){
		int m;
		cin>>m;
		while(m--){
			int val;
			cin>>val;
			v[i].insert(val);
		} 
	}
	int k;
	cin>>k;
	for(int i=0;i<k;i++){
		int a,b;
		cin>>a>>b;
		a--,b--;
		int cnt=0;
		for(auto it:v[a]){
			if(v[b].find(it)!=v[b].end()) cnt++;
		}
		printf("%.1lf%\n",cnt*100.0/(v[a].size()+v[b].size()-cnt));
	}
	return 0;
}
评论
添加红包

请填写红包祝福语或标题

红包个数最小为10个

红包金额最低5元

当前余额3.43前往充值 >
需支付:10.00
成就一亿技术人!
领取后你会自动成为博主和红包主的粉丝 规则
hope_wisdom
发出的红包
实付
使用余额支付
点击重新获取
扫码支付
钱包余额 0

抵扣说明:

1.余额是钱包充值的虚拟货币,按照1:1的比例进行支付金额的抵扣。
2.余额无法直接购买下载,可以购买VIP、付费专栏及课程。

余额充值