搜索资源列表
face
- 先用PCA降维，然后使用OMP识别人脸图像。人脸库是ORL人脸库。-First with PCA dimensionality reduction, and then use the OMP face image recognition. Face is the ORL.
pca
- PCA降维，比如一个40*7000的矩阵，通过这个算法那可以降维到40*38或者更少。。非常实用-PCA dimensionality reduction, such as a 40* 7000 matrix, it can be reduced- to 40* 38 or less by the algorithm. . Very practical ~~~
netExam
- 主程序分析将维算法，可以按主程序分析方法降维。K的大小可以自由选择。-The main program of the dimension algorithm, according to the main program analysis dimension reduction method. The size of K can be free to choose.
kpca-ecg
- 对心电信号QRS波的数据降维，已经把QRS波截取出来-QRS wave of ECG data dimensionality reduction
high-quality-PCA-LDA-code
- 质量很高的一个PCA-LDA特征降维代码，附一个LDA简单学习实例。-A high-quality PCA-LDA feature reduction code attached a simple learning example of LDA.
question5
- 通过fisher进行降维，然后通过最近邻进行分类。fisher通过两种不同方式进行降维。-using fisher to decrease the dimension of feature. then use k nearest to classifycation.
PCA--algorithm
- 人脸特征抽取。主成分分析法。特征降维。样本矩阵。-Facial feature extraction。Principal component analysis (pca).Feature dimension reduction.The sample matrix
Isomap
- 一个经典的数据降维算法，训练样本用的是swiss_roll_data，数据与程序全部包含在压缩包内-a classic dimensionality reduction algorithm
LDA
- LDA线性判别分析算法，用于图像处理中的数据降维方法-LDA linear discriminant analysis algorithm, dimensionality reduction method used for image processing of data
pca
- PCA主成分分析算法，是图像处理的一种数据降维算法-PCA principal component analysis algorithm, is a dimensionality reduction algorithm for image processing of data
pca_process
- 在MATLAB中实现pca 的降维处理-matlab pca process
lle
- lle局部线性嵌入算法，对数据做降维处理，数学建模，文本分类方面有比较好的效果-Lle locally linear embedding algorithm, the dimension data, mathematical modeling, text classification has a good effect
function
- pca算法在处理大数据时候进行降维，能够更加方便的处理多维大数据。-PCA dimensionality reduction algorithm when dealing with large data, can be more convenient to deal with multi-dimensional data.
06102001
- 基于主元分析法的数据降维研究，Matlab实现-Based on principal component analysis method of data dimension reduction research, Matlab
pca20111111
- 实现对人脸数据库的读取，并对其进行降维，可以降维到小于人脸数据样本一下的维数-Dimension achieve human face reads, and its dimensionality reduction, can be reduced to less than one-dimensional data samples at the face
PCA_sourcecode
- 很不错的特征提取代码，降维效果好，本人已经试过，代码没有问题-about extracting feature
1
- 快速主成分分析方法，既可以大大降维，又能提高速度，很棒的-fast PCA method
fastPCA
- PCA降维用于实现人脸识别和主成分分析，输入时n维输出是k维-PCA dimensionality reduction for face recognition and principal component analysis, n-dimensional output when the input is k-dimensional
newPCA
- 一种新的主元分析降维方法，PCA特征矩阵与相关系数法相结合，结合系数通过归一化方法求出同时满足贡献率与相关性分析的特征变量-a new strategy of PCA dimensionality reduction .the combination of PCA with Correlation coefficient，Feature variable is adappted to Correlation coefficient analysis and contribution rate
PCA_wine
- 使用PCA降维的一种用于葡萄酒分类的经典算法，给大家参考下-Using PCA dimensionality reduction of a wine classification of the classic algorithm, to your reference