搜索资源列表
PCA+LDA
- PCA(主成分分析法)、LDA(线性判别法) 两种方法是主要的线性降维法,有很好的效果,希望对大家能够有用!
PCA
- 在多变量统计中,数据有很强的相关性,对数据进行主成分分析,这样可以避免过拟合- Multivariate statistical data there is a strong correlation, principal component analysis of the data, and to avoid over-fitting
66939501pls-for-matlab
- 此程序解释了主成分分析PCA的用法通过matlab将其实现-This program explains the principal component analysis PCA usage by matlab to achieve
PCA
- principal component analysis(PCA)主成分分析,Matlab实例代码-principal component analysis(PCA)
pca
- 经典主成分分析法,实现高光谱图像的降维处理 -Classical principal component analysis, to achieve high spectral image dimensionality reduction
LBPandPCA
- 为有效解决局部二元模式(LBP)在人脸识别特征提取时维数过高的问题,提出了一种结合LBP特征和主成分分析(PCA)的人脸识别方法.-To effectively solve the local binary pattern (LBP) feature extraction in face recognition problem of high dimensionality, we propose a combination of LBP features and principal compon
pca
- 基于主成分分析的人脸特征提取的MATLAB源代码,通过测试的-Principal component analysis based on human face feature extraction MATLAB source code, pass the test
GDAL_PCA
- 利用GDAL程序计算遥感影像算法中主成分分析过程中重要技术-GDAL PCA
pca
- 主成分分析算法,很经典的编写matlab的方式,极其类似系统函数-Principal component analysis algorithm, very classic written in MATLAB, very similar to the system function
PCA
- 主成分分析,用于对数据进行主要因素分析,便于求出主要数据对系统的印象-Principal component analysis
pca-daima
- 近红外光谱主成分分析,适用于各类光谱定性和定量计算使用-Near Infrared Spectroscopy principal component analysis, applicable to all types of spectrum use qualitative and quantitative calculation
PCA
- 主成分分析(Principal Component Analysis,PCA), 将多个变量通过线性变换以选出较少个数重要变量的一种多元统计分析方法-Principal Component Analysis,PCA
fastPCA
- 快速PCA变换。对样本矩阵进行快速主成分分析降维,输出降维后的K维样本特征向量组成的矩阵。-fast pca coad。
zijibianxiePCA
- 自己编写的PCA主成分分析法,希望能够帮助大家-I have written the PCA principal component analysis method, hoping to help everyone
ecauh
- 正确率可以达到98%,借鉴了主成分分析算法(PCA),最大似然(ML)准则和最大后验概率(MAP)准则。- Accuracy can reach 98 , It draws on principal component analysis algorithm (PCA), Maximum Likelihood (ML) criteria and maximum a posteriori (MAP) criterion.
qfnfy
- 是一种双隐层反向传播神经网络,借鉴了主成分分析算法(PCA),包括面积、周长、矩形度、伸长度。- Is a two hidden layer back propagation neural network, It draws on principal component analysis algorithm (PCA), Including the area, perimeter, rectangular, elongation.
2206
- IMC-PID是利用内模控制原理来对PID参数进行计算,分析了该信号的时域、频域、倒谱,循环谱等,借鉴了主成分分析算法(PCA)。- The IMC- PID is using the internal model control principle for PID parameters is calculated, Analysis of the signal time domain, frequency domain, cepstrum, cyclic spectrum, etc. It d
语音识别 程序
- PCA主成分分析和LLE算法降维算法用于语音识别。(PCA speech dimensionality reduction recognition)
程序
- pca 主成分分析的matlab代码。主成分分析(Principal Component Analysis,PCA), 是一种统计方法。通过正交变换将一组可能存在相关性的变量转换为一组线性不相关的变量,转换后的这组变量叫主成分。(PCA principal component analysis matlab code. Principal component analysis (Principal Component, Analysis, PCA) is a statistical method