搜索资源列表
Getproject_gsvd_mar
- LDA/GSVD算法matlab代码，可用来实现基于广义奇异值分解的线性鉴别分析方法-LDA / GSVD algorithm Matlab code, can be used to achieve based on the generalized singular value decomposition of linear discriminant analysis method
DF_LDA_TNN
- LDA 人脸识别的 matlab 源程序 大家看看 可以用的-LDA face recognition matlab source code you can look at the
PCA
- 主成分分析的代码，降维的工具，特征提取降维的工具-PCA code
lda
- For LDA for face recognition with MATLAB code.
DiaLDA
- 是关于对角LDA算法的matlab代码，包含对角化代码和对角化LDA代码-Is a diagonal LDA algorithm on matlab code, including code and diagonalization Diagonalization LDA code
LDAandPCA
- 包含PCA和LDA的matlab代码，希望对大家有用-PCA and LDA contains the matlab code, we hope to be useful
RunFaceRecog_vV
- This is a Simple Code for Face Recognition using PCA + LDA Approach. I hve write this code for ORL Database containing 400 images of 40 persons. I have used Eigenface Algorithm for Face Recognition. Its a Very Simple Code you can easily understand it
LDA2
- LDA的matlab程序，简单易用，速度快。比其他LDA方法好-Matlab source code for LDA. Fast, and easy to use. Better than other LDA source codes
LDA
- LDA的matlab源码,主要用于人脸识别方面的研究-code for LDA
face-recognition
- 用于人脸识别的LDA和PCA特征提取方法的Matlab代码，结合两个程序可以实现PCA+LDA特征提取方法。-LDA and PCA is a common methods of feature selection,These are their source code using matlab.
PCA-LDA
- it is PCA-LDA matlab code. (feature reduction)
Code
- This another matlab code for PCA-LDA
ldanew
- LDA source code done with matlab
LDA
- LDA for face recognation matlab code
lda-0.1-matlab
- 这是一个LDA主题模型的matlab代码，可进行中文模糊聚类分析，内涵说明，可直接使用。-This is a topic LDA model matlab code, can be Chinese fuzzy clustering analysis, meaning that can be used directly.
LDA-function
- its code to classification with LDA in matlab
LDA
- LDA Classification Matlab Code
gait recognition with DTW PCA LDA
- code for gait recognition with DTW PCA LDA matlab
LDA
- Basic code for LDA understanding
lda-0.2-matlab.tar
- lda降维方法源码，lda 方法有很牛逼的降维效果，对分类精度有很大的提升(lda dimension reduction method source code, lda method is very Niubi dimension reduction effect, classification accuracy has greatly improved)