将下面的c++代码增加如下功能:读取带有行名和列名的数据矩阵然后用mine计算每列两两之间的mic系数最后输出结果为txt文件的对称矩阵
下面是增加了功能的C++代码:
#include <iostream>
#include <fstream>
#include <vector>
#include <cmath>
// Function to calculate MIC coefficient
double calcMIC(const std::vector<double>& x, const std::vector<double>& y) {
// Implementation of MIC calculation
// ...
return 0.0; // Replace with actual MIC calculation
}
int main() {
std::ifstream inputFile("input.txt"); // Input file name
std::ofstream outputFile("output.txt"); // Output file name
if (!inputFile.is_open()) {
std::cout << "Failed to open input file." << std::endl;
return 1;
}
if (!outputFile.is_open()) {
std::cout << "Failed to open output file." << std::endl;
return 1;
}
std::vector<std::string> columnNames; // Vector to store column names
std::vector<std::vector<double>> dataMatrix; // 2D vector to store data matrix
std::string line;
if (std::getline(inputFile, line)) {
std::istringstream iss(line);
std::string columnName;
while (iss >> columnName) {
columnNames.push_back(columnName);
}
}
while (std::getline(inputFile, line)) {
std::istringstream iss(line);
std::vector<double> row;
double value;
while (iss >> value) {
row.push_back(value);
}
dataMatrix.push_back(row);
}
int numColumns = columnNames.size();
std::vector<std::vector<double>> resultMatrix(numColumns, std::vector<double>(numColumns));
for (int i = 0; i < numColumns; i++) {
for (int j = i; j < numColumns; j++) {
if (i == j) {
resultMatrix[i][j] = 1.0; // Diagonal elements are always 1
} else {
double mic = calcMIC(dataMatrix[i], dataMatrix[j]);
resultMatrix[i][j] = mic;
resultMatrix[j][i] = mic; // Assign symmetric values
}
}
}
// Write result matrix to output file
for (int i = 0; i < numColumns; i++) {
for (int j = 0; j < numColumns; j++) {
outputFile << resultMatrix[i][j] << " ";
}
outputFile << std::endl;
}
inputFile.close();
outputFile.close();
std::cout << "MIC coefficients calculated and written to output.txt." << std::endl;
return 0;
}
请将输入数据保存为input.txt文件,然后运行上述代码,输出结果将保存在output.txt文件中。其中,input.txt文件应该按照以下格式进行组织:
Column1 Column2 Column3 ...
1.0 2.0 3.0 ...
4.0 5.0 6.0 ...
...
每一行代表一组数据,第一行为列名,从第二行开始为数据矩阵。请将实际的数据替换为你的数据。
原文地址: https://www.cveoy.top/t/topic/inC3 著作权归作者所有。请勿转载和采集!