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computing-future
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CGraph
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CGraph
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tutorial
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TU05-Distance.cpp
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TU05-Distance.cpp
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/***************************
@Author: Chunel
@Contact: chunel@foxmail.com
@File: TU05-Distance.cpp
@Time: 2022/4/2 20:15
@Desc: 本例主要演示,UDistanceCalculator工具的使用方法
***************************/
#include <vector>
#include "MyUtils/MyDistance.h"
using namespace CGraph;
void tutorial_distance() {
/**
* 支持任意类型信息,如 float,int,double等
* 并且支持结果类型转换
*/
using DistSrcType = float; // 向量值类型
using DistResType = float; // 计算结果类型
const int dim = 16;
std::vector<DistSrcType> vec1;
std::vector<DistSrcType> vec2;
// 随机生成两个 DistSrcType 类型,dim 维度,且值在[0.0~1.0]的向量
URandom<DistSrcType>::generate(vec1, dim, 0.0, 1.0);
URandom<DistSrcType>::generate(vec2, dim, 0.0, 1.0);
DistResType result = 0.0;
// 计算欧氏距离
UDistanceCalculator<DistSrcType, DistResType, UDistanceEuclidean<DistSrcType, DistResType> > eucDist;
eucDist.calculate(vec1, vec2, result);
std::cout << "UDistanceEuclidean distance result is : " << result << std::endl;
/**
* 支持自定义距离计算
* 自定义距离的计算逻辑是:所有 向量1的元素乘以2,加上 向量2的元素除以2 之和
* 故 vec1->vec2 的距离和 vec2->vec1的距离,是不同的。
* 下例中给出对应的展示
*/
UDistanceCalculator<DistSrcType, DistResType, MyDistance<DistSrcType, DistResType> > myDist;
myDist.calculate(vec1, vec2, result);
std::cout << "MyDistance distance vec1 -> vec2 result is : " << result << std::endl;
myDist.calculate(vec2, vec1, result);
std::cout << "MyDistance distance vec2 -> vec1 result is : " << result << std::endl;
}
int main() {
tutorial_distance();
return 0;
}
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