# dimensionality_reduction_alo_codes

**Repository Path**: xuxing/dimensionality_reduction_alo_codes

## Basic Information

- **Project Name**: dimensionality_reduction_alo_codes
- **Description**: PCA、LDA、MDS、LLE、TSNE等降维算法的python实现
- **Primary Language**: Unknown
- **License**: Apache-2.0
- **Default Branch**: master
- **Homepage**: None
- **GVP Project**: No

## Statistics

- **Stars**: 0
- **Forks**: 1
- **Created**: 2020-11-25
- **Last Updated**: 2020-12-19

## Categories & Tags

**Categories**: Uncategorized

**Tags**: None

## README

# DimensionalityReduction_alo_codes

**网上关于各种降维算法的资料参差不齐，同时大部分不提供源代码；在此通过借鉴资料实现了一些经典降维算法的Demo(python)，同时也给出了参考资料的链接。**

降维算法|资料链接|展示|
---|---|---
PCA | https://blog.csdn.net/u013719780/article/details/78352262 https://blog.csdn.net/u013719780/article/details/78352262 https://blog.csdn.net/weixin_40604987/article/details/79632888 |  ![PCA](codes/PCA/PCA.png)
KPCA | https://blog.csdn.net/u013719780/article/details/78352262 https://blog.csdn.net/u013719780/article/details/78352262 https://blog.csdn.net/weixin_40604987/article/details/79632888 | ![KPCA](codes/PCA/KPCA.png)
LDA | https://blog.csdn.net/ChenVast/article/details/79227945 https://www.cnblogs.com/pinard/p/6244265.html | ![LDA](codes/LDA/LDA.png)
MDS | https://blog.csdn.net/zhangweiguo_717/article/details/69663452?locationNum=10&fps=1 | ![MDS](codes/MDS/MDS_1.png) ![Tensor-MDS](codes/MDS/MDS_2.png)
ISOMAP | https://blog.csdn.net/zhangweiguo_717/article/details/69802312 http://www-clmc.usc.edu/publications/T/tenenbaum-Science2000.pdf | ![ISOMAP](codes/ISOMAP/Isomap.png)
LLE | https://blog.csdn.net/scott198510/article/details/76099630 https://www.cnblogs.com/pinard/p/6266408.html?utm_source=itdadao&utm_medium=referral | ![LLE](codes/LLE/LLE.png)
TSNE | http://bindog.github.io/blog/2018/07/31/t-sne-tips/ | ![TSNE](codes/T-SNE/T-SNE.png)
AutoEncoder |无　| ![AutoEncoder](codes/AutoEncoder/AutoEncoder.png)
FastICA | https://blog.csdn.net/lizhe_dashuju/article/details/50263339
SVD | https://blog.csdn.net/m0_37870649/article/details/80547167 https://www.cnblogs.com/pinard/p/6251584.html | 
LE | https://blog.csdn.net/hustlx/article/details/50850342# https://blog.csdn.net/jwh_bupt/article/details/8945083 | ![LE](codes/LE/LE.png)

`环境: python3.6 ubuntu18.04(windows10)`
`需要的库: numpy sklearn tensorflow matplotlib`
- 每一个代码都可以单独运行，但是只是作为一个demo，仅供学习使用
- 其中AutoEncoder只是使用AutoEncoder简单的实现了一个PCA降维算法,自编码器涉及到了深度学习领域，其本身就是一个非常大领域
- LE算法的鲁棒性极差，对近邻的选择和数据分布十分敏感