搜索资源列表
pca
- 实现pca变换，图像处理，算法，程序部分，主成分分析-Achieve pca transform, image processing, algorithm, program section, principal component analysis
PCA
- 主成分分析，一种掌握事物主要矛盾的统计分析方法，它可以从多元事物中解析出主要影响因素，揭示事物的本质，简化复杂的问题，主要用于数据降维-PCA，a kind of statistical analysis method which master the main self-contradict of things, it can resolve the main factors from multiple things reveal the nature of things, simplify
pca-matlab
- 主成分分析法，其本质是实现高纬到低维的分析，用matlab实现的代码-Principal component analysis, by its very nature is to achieve the high latitudes to low-dimensional analysis, implemented with the matlab code
Principal-contens-analysis(PCA)
- 用于主成分分析（PCA）,包括，原变量相关系数矩阵的特征向量和特征值的求解，主成分的提取，载荷值的确定等-Used principal component analysis (PCA), including the original variable correlation matrix eigenvectors and eigenvalues of the solution, the main component of the extract, load value
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
- 该程序是主成分分析的重要程序，能对特征进行有效的分析。特别适合初学者。-自动检测中英文中译英英译中百度翻译 翻译结果（中 > 英）复制结果 The program is the principal component analysis of main program, the characteristics of effective analysis. Particularly suitable for beginners.
PCA
- 实现了模式识别中主成分分析（PCA）算法，可以对目标快速分类-To achieve the pattern recognition principal component analysis (PCA) algorithm, can be quickly classified on the target
EDUCATIO
- pc 理论分析与应用 ，详细介绍了 pca主成分分析法的应用-pc theoretical analysis and application, details of the pca principal component analysis of the application
Kernel-PCA
- 基于核方法的主成分分析matlab源代码，比较经典，推荐学习。-Method based on kernel principal component analysis matlab source code, more classic, recommended learning.
PCA-face-recognition
- PCA人脸识别程序。运用主成分分析法对人脸进行识别是一种主要的方法。-PCA face recognition program. The use of principal component analysis of the human face recognition is a major way.
pca
- 主成分分析算法实例子，采用Karhunen-Loeve 算法设计-Instances of sub-principal component analysis algorithm, algorithm design using Karhunen-Loeve
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
pca
- 主成分分析最经典的入门文档，还有前序知识的文档——协方差矩阵，以及实现代码。-The principal component analysis the most classic of introductory document, and knowledge of the preface to the documentation-covariance matrix, and realize the code.
PCA-1-matlab
- Matlab实现主成分分析的一种方法，希望对初学者有帮助-Matlab as a principal component analysis method, for beginners
pca2
- PCA 主成分分析 特征抽取 特征降维 matlab实现-PCA principal component analysis feature extraction dimension reduction
pca
- pca（主成分分析）matlab实现，可以有效的提取数据的主元成分，降低数据矩阵的维数。-pca (Principal Component Analysis) Matlab implementation, can effectively extract data in the main ingredients, reduce the dimension of the data matrix.
PLS
- PCA 主成分分析 程序 采用主成分分析法（PCA），对大沽夹河流域水质进行了定量化综合评价。 -matlab PCA(Principal Component Analysis) programmer is deserved ,it s good to learn.The water quality in Dagujia River basin was assessed by using the PCA method
PCA
- 使用openCV矩阵运算封装的PCA（主成分分析）接口-PCA implemented using openCV functions
PCA
- 一个解释主成分分析PCA算法的文档,并附有简单的MATLAB程序说明-a document explain principle component analyse