使用 C# 计算马氏距离



我正在尝试用c#计算mahalanobis距离。我在网上找不到任何真正好的例子,而且我是 C# 的新手。我尤其无法使协方差矩阵正确运行。任何帮助将不胜感激。谢谢!

using System;
using System.Collections.Generic;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
using MathNet.Numerics.LinearAlgebra.Double;
namespace MahalanobisDistance
 {
   class Program
{
    static void Main(string[] args)
    {
        Program p = new Program();
        DenseVector vector1 = new DenseVector(4);
        DenseVector vector2 = new DenseVector(4);
        DenseMatrix matrix1 = new DenseMatrix(vector1.Count/2);
        vector1[0] = 1;
        vector1[1] = 2;
        vector1[2] = 3;
        vector1[3] = 4;
        vector2[0] = 2;
        vector2[1] = 12;
        vector2[2] = 14;
        vector2[3] = 18;
        matrix1 = p.twoPassCovariance(vector1, vector2);
        for(int i = 0; i < matrix1.RowCount; i++)
        {
            for(int k = 0; k < matrix1.ColumnCount; k++)
            {
                Console.Write(matrix1[k, i] + " ");
            }
            //Mahalanobis2(v1, v2, covariance);
            Console.Write("n");
        }
    }
    public DenseMatrix twoPassCovariance(DenseVector data1, DenseVector data2)
    {
        int n = data1.Count;
        double mean1 = data1.Average();
        double mean2 = data2.Average();
        DenseMatrix covariance = new DenseMatrix(data1.Count);
        double x;
        for(int i = 0; i < 2; i++)
        {
            for (int k = 0; k < n; k++)
            {
                double a = data1[i] - mean1;
                double b = data2[k] - mean2;
                x = a*b;
                covariance[i, k] = x;
            }
        }
        covariance.Multiply(1/n);
        return covariance;
    }
}}

twoPassCovariance 方法的 i 循环中,我认为您应该循环到 i < n 而不是i < 2

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