搜索资源列表
SNR-PCA
- 关于PCA的仿真数据生成及故障信噪比(SNR)的主元选取方法仿真代码。-About PCA generated simulation data and fault signal to noise ratio (SNR) of the main element simulation code selection method.
VRE-PCA
- 关于主元分析选取方法重构误差方差法(VRE)的MATLAB仿真代码。-About PCA reconstruction error variance method selection method (VRE) MATLAB simulation code.
GVRE-PCA
- 关于主成分分析方法的主元选取方法“广义重构误差方差法”(Generalized VRE)的MATLAB仿真代码。-Principal component analysis on the primary unit selection method " generalized reconstruction error variance method" (Generalized VRE) MATLAB simulation code.
Out-PCA-elimination-method
- 列主元消去法,用于求解线性方程-Out PCA elimination method
pca
- 关于主元分析的简单的小程序。适用于初学者。-Simple program about PCA. Suitable for beginners.
pca
- 是用主元分析法实现的较高识别率的人脸识别,开发环境是MATLAB-It is the principal component analysis method is used to implement the high recognition rate of face recognition, development is the MATLAB environment
PCA
- 主成分分析 ( Principal Component Analysis , PCA )或者主元分析。是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。计算主成分的目的是将高维数据投影到较低维空间。给定 n 个变量的 m 个观察值,形成一个 n ′ m 的数据矩阵, n 通常比较大。对于一个由多个变量描述的复杂事物,人们难以认识,那么是否可以抓住事物主要方面进行重点分析呢?如果事物的主要方面刚好体现在几个主要变量上,我们只需要将这几个变量
PCA
- 主成分分析 ( Principal Component Analysis , PCA )或者主元分析。是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-Principal component analysis (Principal Component Analysis, PCA) or PCA. Is a statistical analysis of the principal contradiction of things to ma
PCA-elimination-method-of-Gauss
- 基于列主元Gauss消去法的matlab算法,其中A为系数矩阵,以及次算法的应用-Based out PCA elimination method of Gauss matlab algorithm, where A is the coefficient matrix
PCA
- 主元分析算法的matlab实现,可实现数据降温处理,模块完整,可直接应用。-Principal component analysis
pca
- 主元分析java源代码,很好的学习资料 值的一看-PCA java source code, good learning materials
PCA
- PCA通过数值仿真将数据投射到主元空间实现故障诊断-PCA will project through numerical simulation data to the master metaSpace fault diagnosis
pca
- 基于主元分析的异常检测和故障诊断,用于对具有高度线性相关的测量数据进行分析和处理,其最终实现高维空间降维的目的。-Anomaly detection based on principal component analysis and fault diagnosis, used for highly linear correlation measurement data analysis and processing, its ultimate achieve the goal of higher
PCA_model
- 用于TE模型的故障数据检测,使用pca主元分析法,- TE model by using pca detection
PCA-source-code-analysis
- 基于PCA的主元提取算法原理以及代码,字符识别,人脸识别可用。-PCA based on the principle of the principal component extraction algorithm and code, character recognition, face recognition can be used.
PCA
- 关于主元分析法的程序,希望大家可以用的上。-About the application of principal component analysis, hope everyone can use.
FacePCAjava
- 通过PCA主元分析降维来实现图像,人脸及光谱识别算法- Through principal component analysis PCA dimensionality reduction to achieve image, face recognition algorithm and spectrum
PCAMatlab
- PCA主元分析及实现方法(内含《精通MATLAB数字图像处理与识别》)-Analysis of PCA Principal Component and Its Implementation
77257795PCA_yuandaima
- PCA源程序,主元分析源程序,可以用于变量的特征提取(PCA source code, principal component analysis source, can be used for variable feature extraction)
FNN与PCA和KPCA结合
- 一种特征提取方法:结合主元分析(PCA)和核主元分析(KPCA)的前馈神经网络(FNN)(A feature extraction method: the feedforward neural network (FNN) combined with principal component analysis (PCA) and kernel principal component analysis (KPCA))