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完全用C++实现的PCA算法,可以用于实际工作和学习中-Entirely in C++ implementation of the PCA algorithm can be used for practical work and learning
Update : 2025-02-17 Size : 13kb Publisher :

此源代码使用Eigen C ++库在C ++中实现了PCA算法。 运行代码所需的组件: - 安装Visual Studio 2012(Express Edition工作正常) - Windows操作系统(Windows 7或更高版本) 如何运行源代码: - 打开文件。\ pca \ PrincipalComponentAnalysis \ PrincipalComponentAnalysis \ Program.cpp - 在行和列变量中设置矩阵的尺寸。 - 在m变量中设置矩阵值。 - 运行程序F5 - 输出应该是输入的主要成分的值。 分配矩阵的输出可以在Output.txt中找到(This source code has implementation for PCA algorithm in C++ using Eigen C++ library. Required components to run the code: - Install Visual Studio 2012 (Express Edition works fine) - Windows operating system (Windows 7 or higher) How to run the source code: - Open file .\pca\PrincipalComponentAnalysis\PrincipalComponentAnalysis\Program.cpp - Set the matrix dimensions in rows and columns variables. - Set the matrix values in m variable. - Run the program F5 - Output should be the values of the input's principal component. The output of the assignment matrix is found in Output.txt)
Update : 2025-02-17 Size : 9.84mb Publisher : HJL Kevin
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