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MPCACodes 多线性主成分分析的MATLAB源代码
- 多线性主成分分析的MATLAB源代码 最初用于人脸识别和步态识别 后被扩展到其他应用领域-The codes implement two algorithms: Multilinear Principal Component Analysis (MPCA) and MPCA+LDA.
KPCAEXAMPLE
- 一个很好的核主成分分析matlab程序应用举例。该程序是在前人的核主成分分析程序基础上做了适当的修改产生的，可用于多维数据的降维和压缩处理。-A good kernel principal component analysis matlab application procedures, for example. The program is in the predecessors of Kernel Principal Component Analysis based on the proce
PCA_CODE
- PCA及其改进算法MPCA进行人脸识别MATLAB源程序-PCA&&MPCA face recognition MATLAB code
MPCA
- 高维PCA 参考文献： MPCA Multilinear Principal Component Analysis of Tensor Objects-High-dimensional PCA References: MPCA Multilinear Principal Component Analysis of Tensor Objects
Matlab(MPCA)
- Matlab实现多线性主成份分析(MPCA)-Matlab multi linear principal component analysis (MPCA)
Matlabduoxianxingzhuchengfenfenxi(MPCA)
- 利用matlab来实现多线性主成分的算法，具有很强的实用性-Using matlab to implement multi-linear principal component algorithm, has a strong practical
MPCA-Multilinear-Principal-Component-Analysis-of-
- MPCA Multilinear Principal Component Analysis of Tensor Objects with MATLAB
Variable-wise-MPCA
- 基于变量展开和主元时变协方差的MPCA的MATLAB小程序，希望对有需要的人有所帮助哈-based variable-wise unfolded multi-way MPCA
lda-0.2-matlab.tar
- lda的matlab实现，lda is a Latent Dirichlet Allocation (Blei et al., 2001) package written both in MATLAB and C (command line interface). This package provides only a standard variational Bayes estimation that was first proposed, but has a simple textua
MPCACodes
- 基于MPCA的人脸识别代码，用MATLAB编写的，可以实现-MPCA-based face recognition code, using MATLAB, can be achieved
mpca
- 以下Matlab项目包含用于模块化pca的源代码和Matlab示例。 代码有一些问题，orl面部从1.pgm命名为400.pgm.5从每个类中随机抽取的测试和训练集。图像分为4部分。-The following Matlab project contains the source code and Matlab examples used for modular pca. the code has some problem,orl faces are named 1.pgm to 400.pg
chapt 2
- 使用MPCA进行故障检测，以按批次和变量方向分别展开数据，计算T2和SPE统计量。(MPCA is used for fault detection to expand data according to batch and variable directions, and to calculate T2 and SPE statistics.)