搜索资源列表
gaosisuanfa
- 数值分析中的\"高斯列主元消去法解线代数方程组\"算法的具体实现-numerical analysis of the "main-element Gaussian Elimination Solution Line algebraic equations," a concrete realization algorithm
xuanzhuyuan
- 数值分析-列选主元求解方程组 //n 整型变量。方程组的阶数 //a 双精度实型二维数组,体积为n*n。存放方程组的系数矩阵,返回时将被破坏。 //b 双精度实型一维数组,长度为n,存放方程组右端的常数向量;返回方程组的解向量。 //本函数返回整型标志值。若返回的标志值为0,则表示原方程组的系数矩阵奇异,输出信息“fail”;若返回的标志值不为0,则表示正常返回。-Numerical Analysis-out election PCA solving equations / /
GRAUSS
- 数值分析-列选主元求解方程组 //n 整型变量。方程组的阶数 //a 双精度实型二维数组,体积为n*n。存放方程组的系数矩阵,返回时将被破坏。 //b 双精度实型一维数组,长度为n,存放方程组右端的常数向量;返回方程组的解向量。 //本函数返回整型标志值。若返回的标志值为0,则表示原方程组的系数矩阵奇异,输出信息“fail”;若返回的标志值不为0,则表示正常返回。-Numerical Analysis-out election PCA solving equations / /
Gauss-liezhuyuan
- 高斯列主元消元法的实验报告和源程序,里面还有一点误差分析-out PCA Gaussian Elimination Act of experimental reports and sources, there is also 1:00 Error Analysis
zl
- 对主元分析方法的编程,实现降维的目的,并有效的得到得分矩阵,输出结果-Principal component analysis method for programming, achieve the purpose of dimension reduction and effective to get the score matrix, the output
zl
- 主元分析方法的仿真,在matlab下运行,可以得到得分矩阵,并起到了降维的目的-Principal component analysis method of simulation in matlab running, you can get the score matrix, and played a dimensionality reduction purposes
kpca
- 这是一段核主元分析算法的源程序,仅供参考-This is a kernel principal component analysis algorithm source code, for reference only
pca
- 里面包含主元分析PCA的Matlab代码 协方差 贡献率-Matlab code which contains the covariance contribution rate of principal component analysis PCA
kpca
- 主元分析法(PCA)是目前基于多元统计过程控制的故障诊断技术的核心,是基于原始数据空间,通过构造一组新的潜隐变量来降低原始数据空间的维数,再从新的映射空间抽取主要变化信息,提取统计特征,从而构成对原始数据空间特性的理解。-Principal Component Analysis
pca
- 是用主元分析法实现的较高识别率的人脸识别,开发环境是MATLAB-It is the principal component analysis method is used to implement the high recognition rate of face recognition, development is the MATLAB environment
KPCA
- 这是一个关于核主元分析的代码,在win7平台上用C++编写-This is the code on nuclear Principal Component Analysis on win7 platform written C++
PCA
- 能够实现对多维数据的PCA主元分析,对数据降维,提取主元。-PCA principal component analysis can be achieved, for data dimensionality reduction, extraction PCA
yuandaima
- 这里面包括平行坐标、主元分析、画3Y轴、三维坐标下作图以及波谱图几个代码。-This includes parallel coordinates, principal component analysis, draw 3 y, under the 3 d coordinate mapping and spectrogram several code.
PCA_model
- 用于TE模型的故障数据检测,使用pca主元分析法,- TE model by using pca detection
temex
- 主元分析法在te过程故障诊断的仿真,和正常模型-Principal component analysis method in TE process fault diagnosis simulation, and normal model
PCA
- 关于主元分析法的程序,希望大家可以用的上。-About the application of principal component analysis, hope everyone can use.
PCA-ICA
- 实现了主元分析(PCA)和独立分量分析(ICA)相关信号处理。非线性降维。(Implements Principal Component Analysis (PCA) and Independent Component Analysis (ICA) correlation signal. Non-linear dimension reduction using kernel PCA.)
PCA_Monitoring
- PCA(principle component analysis)算法,可用于特征选择等,希望有帮助(principle component analysis)
数值分析上机C语言代码
- 龙贝格积分 高斯列主消元法 牛顿迭代 三次样条插值 龙格卡塔(Romberg integration Gauss principal elimination method Newton iteration three spline interpolation Runge Cartagena)
PLS_Toolbo
- pls_toolbox工具箱可以解决统计领域多个问题的matlab求解问题,比如偏最小二乘问题、多向主元问题、主元分析等等,集成的工具箱方便,而且不需要验证码!(The pls_toolbox toolbox can solve the MATLAB problem of multiple problems in the field of statistics, such as partial least squares, multidirectional principal element,