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lab432.rar
- 主成分分析和偏最小二乘SquaresPrincipal成分分析（ PCA ）和偏最小二乘（ PLS ） ，广泛应用于工具。此代码是为了显示他们的关系，通过非线性迭代偏最小二乘（ NIPALS ）算法。 ,Principal Component Analysis and Partial Least SquaresPrincipal Component Analysis (PCA) and Partial Least Squares (PLS) are widely used tools. Thi
Face_Recognition.zip
- Face Recognition, Face Detection, Lausanne Protocol, 3D Face Reconstruction, Principal Component Analysis, Fisher Linear Discriminant Analysis, Locality Preserving Projections, Kernel Fisher Discriminant Analysis,Face Recognition, Face Detection, L
Kernel-Principal
- 核主元分析法能充分利用核函数来解决非线性问题，具有很好的非线性逼近能力-Kernel principal component analysis can take advantage of the kernel function to solve nonlinear problems, with good nonlinear approximation ability
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
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
pca
- PCA主成分分析，用于人脸识别，特征提取等-PCA principal component analysis for face recognition, feature extraction, etc.
ClusteringToolbox2
- 一个用于聚类的工具箱，内有主元分析、模糊等技术的Matlab源代码和应用实例程序Demo。-One for clustering toolbox, with principal component analysis, fuzzy techniques, such as Matlab source code and application procedures for Demo.
pp
- 主元分析 (Principal Component Analysis, PCA) 又叫：Karhunen-Loeve变换 (KLT)、Hotelling变换。 假设已经从图象已经缩放为N*M大小。 m幅N*M大小的图象Xi作为n*1列向量看待-PCA (Principal Component Analysis, PCA) also known as: Karhunen-Loeve Transform (KLT), Hotelling transform.
pca
- PCA代码 主成分分析代码 适合初学人脸识别的朋友学习使用-PCA principal component analysis source code suitable for beginner learning to use face recognition friend
facecode
- 人脸识别matlab程序 with a principal components analysis for a set of face images as the theme-Face recognition matlab procedures with a principal components analysis for a set of face images as the theme
matlab-pca
- 这是一个主成分分析的matlab程序，非常有用。-This is a principal component analysis of matlab procedures, very useful.
PrincipalCurves
- 这是网上较难得到的一份基于主曲线轮廓提取的算法和论文，大家可以试一下！-This is a package of the paper and source of principal curve! It deserves you to have a try!
KPCA
- 为解决PCA不适合多指标综合分析中非线性主成分分析的问题 ,采用核主成分分析 (kpca)方法 ,对我国不同地区 16种腐乳的品质进行了综合评价。 -PCA is not suitable to address the many indicators of a comprehensive analysis of non-linear principal component analysis of the problem, using Kernel Principal Component An
RegrToolbox
- 基于多元线性回归、偏最小二乘、神经网络、卡尔漫滤波、径向基网络、主成分分析等等的程序。可用于建模和预测。-Based on multiple linear regression, partial least squares, neural networks, Carl diffuse filtering, radial basis networks, and so on principal component analysis procedure. Can be used for modelin
fuz
- 使用Fuzzy Cluster Mean (FCM)與Principal component analysis (PCA)分類Yeast Data-Yeast data will be classified by means of Fuzzy Cluster Mean (FCM)and Principal component analysis (PCA) based on matlab.
PCA
- PCA 主成分分析在人脸识别中的应用 基于主成分分析理论对不同人脸库进行学习 总结“经验”并将“经验”用于对人脸的识别中-PCA Principal Component Analysis for Face Recognition Based on principal component analysis theory of different learning face database summary of " experience" and " experience
PCA
- 主成分分析，人脸识别，模式识别，对图像处理有点帮助-Principal component analysis, face recognition, pattern recognition, image processing for a little help
kernel-ica1_1
- 基于核函数的主分量分析法源代码，可用于人脸识别-Kernel-based principal component analysis source code, can be used for face recognition
Principal.Component.Analysis.PCA
- 26页PPT，详细介绍主成分分析（Principal Component Analysis，PCA）的概念-26 PPT, details of principal component analysis (Principal Component Analysis, PCA) concept of
Principal-component-analysis-matlab
- 主成分分析.mht：介绍主成分分析的文章 edgepick.m：本程序的目的是实现边缘检测 drawprim.m：找到最大主分量所在的位置，从而在原图象中绘出 practical.m：一个主分量的程序，边缘检测和主分量提取 prin.m：该程序是用princomp函数来提取矩阵的主成分-Principal component analysis. Mht: the article describes the principal component analysis edgepick