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PCA1122
- 对主元分析的基本功能进行介绍，详细描述了得分矩阵、协方差矩阵的计算方式-Introduces the basic functions of the principal component analysis, detailed descr iption of the scoring matrix, the calculation of the covariance matrix
PCAmodel
- 用基于主元分析的方法对被控过程进行建模，可以消除变量之间的贡献性。-Accused of process modeling method based on principal component analysis, contribution between the variables can be eliminated.
PCA
- 这是我自己编写的主元分析的MATLAB程序，主要包含经典多变量统计方法，运行结果不错，欢迎下载~-This is my own writing of the principal component analysis of the MATLAB program, mainly include classical multivariate statistical method, operation result is good, welcome to download ~
zhuyuanfenxi
- 此文件是应用主元分析法进行故障信号处理的matlab语言，有很强的实用性，包括漂移故障，短路故障，开路故障等情况。-This file is the application of principal component analysis for fault signal processing matlab language, very practical, including drift fault, short circuit fault, open circuit failure.
PCA
- 简单的PCA主元分析源码，自己编写，亲测可用-Simple PCA principal component analysis of the source code, I have written pro-test available
matlab-TE-fault1
- matlab程序，利用主元分析、T2统计图和贡献率图方法对数据进行故障检测和诊断，贡献率图是变量对失控得分进行贡献率计算-matlab program, using principal component analysis, T2 charts and maps of the contribution rate of the data for fault detection and diagnosis, the contribution rate of the variable on the m
matlab-TE-fault1-second-idea
- 利用主元分析、T2统计图和贡献率图方法对TE仿真故障1数据进行故障检测和诊断，贡献率图是变量对超出T2控制限的失控得分进行贡献率计算-matlab program, using principal component analysis, T2 charts and maps of the contribution rate of a fault on the TE simulation data for fault detection and diagnosis, the contributio
statics
- matlab例程，统计分析对的matlab代码，主元分析，聚类分析，方差分析，判别分析，因子分析-matlab routines, statistical analysis matlab code, principal component analysis, cluster analysis, analysis of variance, discriminant analysis, factor analysis
1kernel-ica1_1
- 核主元分析程序，利用核函数将非线性数据映射到线性空间，再利用主元分析提取特征数据。-KPCA procedure uses the kernel nonlinear data mapped into linear space, and then using principal component analysis to extract feature data.
TE_PCA
- PCA:主元分析。进行降维，实现TE化工过程特征提取。-PCA: principal component analysis. Dimensionality reduction, feature extraction chemical process to achieve TE.
PCA
- 主元分析法（PCA）处理数据，将对结果影响小的某些因素剔除，只保留对结果影响大的一些因素。-Principal component analysis (PCA) process the data, the results will eliminate some of the factors affecting small, leaving only a great impact on the results of a number of factors.
PCA_Matlab
- 主元分析（PCA）的Matlab源代码分析-source code of PCA runed on Matlab
Pcasmlar
- 基于 matlab 用主元分析对半导体数据进行处理，进行相似度的匹配-Matlab using principal component analysis based on semiconductor data processing, the similarity matching
kpca_Parameters_TestVision1
- 核主元分析法，其中的核函数应用的单纯的高斯核，包括数据处理和压缩处理。-he zhu yuan fen xi,dan cun de gao si he.mei you duo xiang shi he.
DPCAandTE
- 基于动态主元分析的数学原理自己编写的程序，并包含时滞参数h的确定过程。-Based on dynamic mathematic principle of principal component analysis to write your own program, and contains a time delay process of h.
pca
- 此算法能进行主元分析，实现原始数据的降维，对对象进行主成分分析-This algorithm can perform principal component analysis, to achieve the original data dimensionality reduction, principal component analysis of the object
pca-pcr
- 主元分析与主元回归用于函数的回归拟合已测试-Principal component analysis and principal component regression regression fit for function
PCA
- 这篇PPT主要讲述了主元分析及其具体的仿真及应用。-This PPT is mainly about the principal component analysis and the simulation and application specific.
pca-(3)
- 主要描述的是主元分析的matlab编程实例，很实用。-The main descr iption of the principal component analysis of MATLAB programming examples, it is very practical.
Principle_content_analysis
- 主元分析法PCA matlab程序，确定主元个数-Principal component analysis PCA matlab procedures, determine the number of PCA