搜索资源列表
RobustPCA-master
- RPCA 的代码，同于数据降维，非原创，转载而来。(this is the code for RPCA, and it is reproduced from others.)
PCA_DeNoise
- 再用主成分分析方法进行信号噪声去除。文件中包含三个子函数：1.Normalize_InputData，规则化输入数据；2.PCA_Reduce_Dimension，实现数据降维处理；3.PCA_Filter_Noise，实现噪声去除(the principal component analysis method for signal noise removal. The file contains three sub-functions: 1.Normalize_InputData, regul
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)
2pca
- 对数据进行主成分分析，以达到数据的降维。(The principal component analysis is performed to reduce the dimensionality of the data.)
PCA
- PCA 算法演示 主要用于数据进行降维处理(PCA suanfa zhuyaoyongyushujujinxingjiangweichuli)
PCA
- 非常经典的特征提取算法，经常用来做降维方法，但是也可以直接用来做特征提取，很适合图像处理入门，在人脸识别也经常用到(Very classic feature extraction algorithm, often used to do dimensionality reduction methods, but can also be used directly to do feature extraction, it is suitable for image processing, in fa
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
corrcoef_directional
- 计算多数据段相关系数，数据降维，特征分析(Calculation of correlation coefficient of multiple data segments)
新建 360压缩 ZIP 文件
- 基于gabor变换和pca降维的人脸识别算法，具有较高的识别率(Face recognition algorithm based on Gabor transform and PCA dimension reduction, with high recognition rate)
hyperspectral
- 高光谱图像在matlab上处理数据波段，并且包括降维功能(Hyperspectral images deal with data bands on MATLAB and include dimensionality reduction functions)
NMF
- 使用NMF和KNN分类器实现对高维图像的降维处理(use NMF and KNN for high dimensional image)
LDA1
- LDA线性判别算法，可以用来对数据进行降维(LDA linear discriminant algorithm can be used for dimensionality reduction of data.)
LDA人脸识别程序
- 在MATLAB2014b版本，进行人脸识别，包含PCA降维、LDA线性判别、KNN最近邻算法等技术(In MATLAB2014b version, face recognition is carried out, including PCA dimension reduction, LDA linear discriminant analysis, KNN nearest neighbor algorithm and so on.)
GA
- 该算法利用遗传算法实现了特征波长的提取，可以有效降维(The algorithm realizes the extraction of characteristic wavelengths by genetic algorithm and can effectively reduce dimension.)
MNFTool-master
- 用于进行MNF变换，mnf用于对高维数据进行降维，特征提取(For MNF transformation, MNF is used for dimensionality reduction and feature extraction of high-dimensional data.)
KPCA-故障检测
- 内附有对应的数据集，直接测试即可。利用KPCA进行降维。(With data sets, direct testing is enough.)
Matlab Toolbox for Dimensionality Reduction.tar
- matlab 常用的降维软件 包括常用LLE、PCA、CCA等算法，简单好用
基于PCA和SVM的人脸识别系统
- 先通过图像处理提取人脸的各个特征，然后对人脸通过PCA进行降维，然后通过SVM进行人脸识别(Firstly, the features of human face are extracted by image processing, then the dimension of human face is reduced by PCA, and then the face is recognized by SVM)
DMD_for_Human_motion-master
- 动态模式分解,从人类步行数据中提取信息.动态模式分解是一种降维算法，最初是在流体力学领域引入的。与提供内部坐标系和相应投影的SVD相似，DMD为您提供随不同时间行为演变的特定空间模式。(Extract Info from Human Walking Data with Dynamic Mode Decomposition)
MATLAB数据处理代码
- 34种数据降维方法代码；分段线性插值算法代码；基于RPCA异常值检测代码；基于t-sne算法的降维可视化实例；基于埃尔米特插值多项式代码；基于二维数据内插值代码...