搜索资源列表
pca(matlab)
- 一个PCA用于人脸识别的程序，不知道有没有，先传了供大家参考下。 -a PCA for face recognition procedures, I do not know any first-of reference for everyone under.
PCA-matlab
- 此程序为用于主成分分析的matlab程序，可以输出贡献率及画出二维散点图-this procedure for the Principal Component Analysis Matlab procedures can export contribution rate and the two-dimensional plot paint
pca
- pca matlab pca matlab
pca(2)
- PCA MATLAB 实现人脸识别的程序
pca.rar
- 人脸特征提取经典PCA方法的matlab源码，做这方面的朋友不妨试试。,Human Face Feature Extraction classic PCA method matlab source code, make friends in this area worth a try.
pca.rar
- matcom插件调用matlab里面princomp函数对数据进行处理的小程序,plug-ins inside matcom call matlab function princomp data processing applet
pca
- pricipal component analysis code writen in matlab
pca
- 基于matlab 的神经网络计算，解压缩后直接运行 -Matlab neural network-based computing, unzip it and directly run
PCA
- 利用matlab实现主成分分析！结构清晰！pca based on matlab-pca based on matlab
PCA-matlab
- 里面包含主元分析PCA的Matlab代码，包括提取主元，求方差贡献率，绘制贡献率直方图等-Which contains the principal component analysis PCA of the Matlab code, including the extraction of the main element, seeking variance contribution rate, contribution rate of histogram mapping, etc.
PCA
- 用Matlab实现主成分分析（PCA)算法.-Principal component analysis using Matlab implementation (PCA) algorithm.
pca-matlab
- PCA又为主成分分析，是一种特征提取方法， 它通过线性变换寻找一组最优的单位正交向量基，用他们的线性组合来重构原样本-PCA and the main component analysis, a feature extraction method, which by finding a set of optimal linear transformation unit orthogonal base vectors, with their linear combination to recons
pca
- matlab下主程序分析pca代码模板，可以直接使用。(Matlab under the main program analysis, PCA code template, you can use directly.)
pca计算
- 基 于 matlab 的pca程序，挺不错的(PCA matlab program, pretty good)
PCA
- PCA算法的matlab实现及算例，包含原始数据(matlab code of PCA in machine learning)
pca
- PCA原理源代码,MATLAB程序仿真实验(the simulation experiment of PCA,MATLAB)
PCA
- PCA主成分分析，提取主特征，降维处理(PCA principal component analysis is used to extract the main features and reduce the dimensionality)
PCA
- MATLAB实现主元分析法，实现数据的压缩，提取主元(MATLAB realize Principal Component Analysis, To achieve data compression, extract the principal component)
PCA
- PCA 算法演示 主要用于数据进行降维处理(PCA suanfa zhuyaoyongyushujujinxingjiangweichuli)
PCA
- PCA降维实例，使用数据集，数据集衡量美国329个城市生活质量的9个指标：气候、住房、健康、犯罪率、交通、教育、艺术、娱乐和经济。对于各指标，越高表示越好，如高的犯罪指标表示低的犯罪率。(PCA dimensionality reduction example uses data sets and data sets to measure 9 indicators of quality of life in 329 cities: climate, housing, health, crime