搜索资源列表
pca
- 应用PCA（主成分分析）进行人脸识别的matlab程序，有较高成功率-PCA (Principal Component Analysis) face recognition Matlab procedures, which have a higher success rate
EasyPCA-1[1].0.tar
- C语言编写的PCA程序，实现主成分分析功能-C language of the PCA program to achieve the principal component analysis function
featureExtraction
- 该程序包实现了模式识别中的两个特征提取算法，主成分分析PCA和线性判别分析LDA。采用C++语言编写，开发环境VS。 程序包还提供了两个测试样本文件。-The package to achieve the recognition of the two feature extraction algorithm, principal component analysis PCA and linear discriminant analysis LDA. Using C++ language, dev
pca
- pca主成分分析，matlab程序，用于图像特征提取，降维等 有中文注释-Principal component analysis
pcapcr
- 主成分分析(PCA)和主成分回归的(PCR)类，基于ZedGrapg和矩阵类库LinearAlgebra，用于模式识别分类和回归建模型，PCA类中增加基于Zedgraph类图显示，自动多类标识-Priciple Component Analysis and Priciple Component regression algorithm
PCA
- 本篇文章提供了一些对于主成分分析法matlab源码分析解释，简单，中文解释。-This article provides some of the principal component analysis for matlab source code analysis and interpretation, simple Chinese explanation.
PCA-and-MatlabCode
- 主成分分析法实现特征选择，里面有非常详细的算法介绍，还有一个现实实例介绍，非常具象，里面贴有实现算法的matlab代码-Principal component analysis （PCA）to achieve feature selection , which has a very detailed descr iption of algorithms , there is a real example to illustrate , very concrete , which is affix
face-recognition-based-on-pca
- 基于主成分分析的人脸识别，用主成分分析提前特征，用模版匹配进行分类-face recognition based on PCA
PCA
- PCA分析，主成分分析算法的源代码，输入矩阵就能够完成PCA分析，方便易用，算法简洁易用。-Pca Analyze， The source code of PCA method, input matrix and you ll get the result, it is simple to use and the source code is very clear.
PCA
- 斯坦福大学深度学习，PCA主成分分析的补充完的代码-PCA principal component analysis of deep learning at Stanford, added the code
pca
- 机器学习算法，利用PCA来简化数据，降维技术，主成分分析-Machine learning algorithm, using PCA to simplify data dimensionality reduction techniques, principal component analysis
weighted-pca-program
- 基于加权主成分分析（PCA）的人体检测算法，matlab程序-weighted PCA for pedestrian detection
pca
- pca主成分分析，在多变量选择上效果较好，对数据的主成分进行分析，常用于分类、聚类、实验数据处理-Pca principal component analysis in multivariate selection effect is good, principal component analysis of data, often used in classification, clustering, experimental data processing
KL_SVD_face_recognition
- PCA主成分分析，采用KL投影和SVD分解提取人脸特征向量，最后采用最近邻判别法计算识别率。-Face recognition based on PCA. KL projection and SVD are used to extract face eigenvectors. Recognition rate is calculated by k nearest neighbors(KNN) method.
PCA.ZIP
- pca学习资料，内含：1、A tutorial on Principal Components Analysis.pdf；2、ExercisePCA.m 3、PCA主成分分析.ppt-PCA learning material， which include 1.A tutorial on Principal Components Analysis.pdf；2.ExercisePCA.m 3.PCA.ppt.
PCA
- 主成分分析，空间降维的人工智能算法，也能用来去相关性，在图像等信号处理常用-Principal component analysis, spatial dimensionality reduction of artificial intelligence algorithms, but also can come and relevance, in the image signal processing such as common
PCA-and-whiten
- PCA及whiten算法MATLAB实现，Principal Component Analysis，主成分分析，白化-PCA and whiten algorithm MATLAB realize, Principal Component Analysis, Principal Component Analysis, albino
PCA
- 对训练数据进行主成分分析，得到降维矩阵，然后根据降维矩阵求得测试数据降维之后的矩阵。-The training data, principal component analysis, to obtain reduced dimensional matrix, and the matrix obtained after the dimensionality reduction test The dimensionality reduction matrix.
主成分分析PCA
- 用PCA算法对iris数据集进行主成分分析(The PCA algorithm is used to analyze the iris data set)
PCA程序
- 实现主成分分析 % Usage: % [eigvector, eigvalue] = PCA(data, options) % [eigvector, eigvalue] = PCA(data) % % Input: % data - Data matrix. Each row vector of fea is a data point. % % options.ReducedDim