搜索资源列表
IPCA_JC_3
- 又一种增量人脸学习算法——参考文献“Candid Covariance-Free Incremental Principal Component Analysis.”-Face another incremental learning algorithm- References Candid Covariance-Free Incremental Principal Component Analysis.
myplot
- 利用matlab连接excele数据，并用相关系数法分析数据的源代码，包括主元分析、偏相关系数、复相关系数。灰色关联分析等。-Using matlab to connect excele data, and correlation coefficient analysis of data source, including principal component analysis, partial correlation coeffic
pcahao
- /* Principal Components Analysis or the Karhunen-Loeve expansion is a classical method for dimensionality reduction or exploratory data analysis. One reference among many is: F. Murtagh and A. Heck, Multivariate
kpca
- 核主成分分析法,用matlab实现,极为精彩.不可错过-Kernel Principal Component Analysis method, using matlab realize, is extremely exciting. Not to be missed
fpca
- fuzzy principal component analysis implementation a very good algorithm
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 Transfor
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
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 proc
icafsvm
- 用于人脸识别的模糊独立成分分析+主成分分析，用模糊支持向量机进行的分类。-Fuzzy Face Recognition for independent component analysis+ principal component analysis, using fuzzy support vector machine classification.
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 " experie
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