搜索资源列表
PPSO-SVMfaceS
- 基于PSO训练SVM的人脸识别利用支持向量机在学习能力方面表现的良好性能,结合核主元分析特征提取方法,将将其应用于人脸识别中,该方法在实验中表现了良好的识别性能,为人脸识别领域提供了一条新的识别途径 已通过测试。 -Good performance, performance in the ability to learn the use of support vector machines based on PSO training SVM face recognition combined
PCA
- 主元分析 PCA的源代码程序 用于对于复杂的数据进行提取主元-The principal component analysis PCA source code program to extract the main element is used for complex data
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 ~
EMD_matlab
- kpc核主元分析程序 kpc核主元分析程序 kpc核主元分析程序 -kpc KPCA program kpc kernel principal component analysis program kpc nuclear main element analysis program kpc nuclear main element analysis program kpc kernel principal component analysis program analysis program kp
PCA
- 主元分析-PCA analysis
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.
zhuyaunfenxi_C
- 主元分析法的C语言程序，主要用在降维的方面，也可用在信号处理，故障诊断。-Principal Component Analysis Method C language program, mainly used in dimensionality reduction, can also be used in signal processing, fault diagnosis.
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
PCA
- 主元分析是对数据进行平移和旋转变换，提取几个比较重要的变量来表示原始空间中的重要信息，实现对数据的降维-Principal component analysis for data translation and rotation transformation to extract a few of the more important variables to represent the important information in the original space, to achiev
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
zl
- 实现主元分析方法的仿真，该程序在matlab下运行，并能够有效的输出结果。-To achieve the main element analysis method of simulation, the program matlab running, and be able to effectively output.
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
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.
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
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