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matlab
- 本程序包括5个MATLAB程序，分别实现图像分量提取，拉普拉斯变换，图像批量格式转换，图像纹理特征提取，以及小波变换-The program includes five MATLAB programs were achieving the image component extraction, Laplace transform, image batch format conversion, image texture feature extraction, and the wavelet tr
Fault1_PCA
- 利用主成分分析方法，对TE模型产生的故障数据故障1进行故障检测-Using principal component analysis, on the TE model failure data generated by a fault detection fault
Subpattern-based_principal___component_analysis.zi
- 子模式主成分分析首先对原始图像分块，然后对相同位置的子图像分别建立子图像集，在每一个子图像集内使用PCA方法提取特征，建立子空间。对待识别图像，经相同分块后，分别将子图像向对应的子空间投影，提取特征。最后根据最近邻原则进行分类。-Sub-mode principal component analysis first of the original image block, and then the same sub-image, respectively, the location of the
KSDevBlockEnginev3.03
- KSDev Block Engine 3.03 BlockEngine is a set of components for creating professional-looking vector graphics. BlockEngine can be used to create business diagrams, presentations, organization and workflow charts, software and process flowcharts,
methods_of_classification
- 这里和大家分享的几种基础的分类方法，其中包括判别聚类分析、人工神经网络、主成分分析等-Here and to share the basis of several classification methods, including discriminant cluster analysis, artificial neural networks, principal component analysis
pca
- PCA主元分析后用神经网络预测，A/S含量，PCA算法实现，与神经网络-PCA principal component analysis using neural network prediction, A/S content, PCA algorithm, and neural network
matlab
- 如何在matlab下做的com组件，然后在vb,c#.net，vc实现调用然后打包-Matlab how to do so under the com component, and then in vb, c#. Net, vc call and then packaged to achieve
PCA
- 主成分分析代码，用matlab实现的，请大家参阅。-Principal component analysis code, matlab implementation, please refer to the.
normalise
- Normalises image values to 0-1, or to desired mean and variance Usage: n = normalise(im) Offsets and rescales image so that the minimum value is 0 and the maximum value is 1. Result is returned in n. If the image is colour the
emd
- 经验模式分解(EMD)将信号分解成多个IMF分量，每个IMF分量代表一定频率尺度的模式完整源代码-Empirical Mode Decomposition (EMD) to decompose the signal into a number of IMF components, each component of IMF on behalf of a certain frequency-scale model of the full source code
pca
- 主要的源代码成分分析，您可以加载数据，然后可以直接使用无需修改-Principal component analysis of the source code, you can load data, and then can be used directly without modification
MPCALDA
- 编程是由pca和lda结合的脸部特征提取，用于三维图像。-multilinear principal component analysis combined with Linear discriminant analysis 3D face feature extraction.
PCA
- Principal Component Analysis. Very important for pattern recognition(ie. optical character recognition) A great fundamental file for the beginner. Even those who doesn t know what is variance can start learning about OCR basics from this pdf.-Princip
Combine-MATLAB-and-VCPP
- 详细的介绍了VC++与MATLAB联合编程的几种方法，并详细介绍了MATCOM以及COM组件的实现步骤，并通过简单的例子讲解了实现过程-Detailed descr iption of the VC++ and MATLAB programming combined several methods and details MATCOM and COM component implementation steps, and through a simple example to explain t
MATLAB---zhuchengfen
- matlab中关于主成分分析的一个特经典的程序-matlab on principal component analysis, a special classic procedure
PCA-Matlab-CODE
- 主成分分析源代码，有详细说明，中文详细说明-Principal Component Analysis Matlab CODE
largest-component
- 此程序用于大数据处理，一共有两个文件夹，是用matlab编的-For large data processing of this program, a total of two folders, is a matlab
Principal-Component-Analysis
- principle component analysis using matlab
ICA-MATLAB-HB
- 独立成分分析ICA利用MATLAB实现。可以运行，简单易懂，方便学习-Independent component analysis ICA using MATLAB implementation. You can run, easy to understand, easy to learn
matlab表情识别
- Matlab表情识别，特征脸[1 ]作为面部表情分类的方法。首先，利用训练图像创建低维人脸空间（pca）。这是通过训练图像集主成分分析（PCA）及图片主成分分析（即具有较大特征值的特征向量）获得的。 结果，所有的测试图像以所选择的主成分表示，计算投影图像与所有投影列车图像的欧几里得距离，选择最小值以找出与试验图像最相似的训练图像。(The feature face [1] is used as a facial expression classification method. Firstly,