搜索资源列表
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
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_Soft
- 主成分分析法的超详细介绍，附有多个开发环境的程序，举了多个例子以供练习，编了一个小程序，很方便地进行主成分分析，非常方便实用··（强烈要求管理员给个高分，谢谢）-Principal Component Analysis of the ultra-detailed descr iption of the development environment with a number of procedures, to cite a number of examples for practice, fo
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.
SVDU
- 一种奇异值分解的更新算法，可以用来增量地进行主成分分析，根据文献《Incremental singular value decomposition of uncertain data with missing values》-《Incremental singular value decomposition of uncertain data with missing values》
zhuchengfen1123
- 主成分分析的matlab程序，很有用的程序(It is very useful.Based on the principal component analysis of the matlab program)
pca
- 主成分分析在matlab中应用，已经过实践分析。(Application of principal component analysis in matlab.)
PCA-SVM
- 用于主成分图像svm分类，简单，有很好的程序，适合初学者(SVM for principal component image classification, simple, there are very good procedures for beginners)
PCA
- 该代码主要实现样本的主成分分析，包括一个xls文件的数据样本，一个PCA的主程序。(This code is usedto realize principal component analysis, including a XLS file of data samples and a PCA main program.)
PCA
- 该程序可以实现数据的主成分提取，以及相关系数矩阵，得分矩阵，还有T^2统计量，可视化效果好。(The program can achieve the main component extraction of data, as well as correlation coefficient matrix, scoring matrix, as well as T^2 statistics, visual effect is good.)
zhuchengfen
- 改进的主成分分析法，可算出指标的相对贡献值(The relative contribution value of the index can be calculated by the improved principal component analysis)
pca
- 通过主成分分析可以对混合物量测矩阵进行svd分解，截取特征值大的变量，可以滤掉一些无关信息，使计算量更小(Through the principal component analysis of the mixture can be measured matrix svd decomposition, interception of large eigenvalues of variables, you can filter out some irrelevant information, so
pcr
- 主成分回归是一种多元回归分析方法，旨在解决自变量间存在多重线性问题(Principal component regression is a multivariate regression analysis method designed to solve the existence of multiple linear problems between independent variables)
主成分分析法的原理应用及计算步骤
- PCA算法详细介绍：word版可以打印，值得与君共欣赏(PCA:Principal Component Analysis)
PCA分析源代码
- PCA主成分分析源代码，PCA是用于降维是经典方法，现在仍有很多人用主成分分析方法进行降维，降低算法复杂度。(PCA is the source code of principal component analysis. PCA is a classical method for dimensionality reduction. Many people still use principal component analysis to reduce dimension and reduce a
code
- 三维主成分分析、重建及演示的demo，给出了心脏样本的案例(Demonstration of 3D Principal Component Analysis, Reconstruction and Demonstration)
2017Example of principal component analysis
- 主成分分析例子，2017主成分分析例子，博士研究生+多元统计分析课程讲稿(Example of principal component analysis)
主成分分析
- 通过实例来研究SAS软件中的因子分析和主成分分析及二者分析结果的比较。以2012年城镇消费支出资料（数据来源于2013年《中国统计年鉴》）为依据，对全国31个省市进行主成分分析和因子分析，31个省市消费支出指标为X_1—食品，X_2—衣着，X_3—家庭设备及用品，X_4—医疗保健，X_5—交通通信，X_6—文教娱乐，X_7—居住，X_8其他商品和服务。(The factor analysis and principal component analysis of SAS software and
主成分分析
- 使用主成分分析方法降维，输出主成分特征根，单位向量，累计贡献率(Dimensionality reduction by using principal component analysis)
主成分分析降维代码（直接调用版）
- 主成分分析降维代码，完整版，可以直接放进matlab运行。(Principal component analysis dimension reduction code, complete version, can be directly put into Matlab to run.)