搜索资源列表
pca
- 利用python实现主成分分析，主要用在图像处理等领域-Use python to achieve the principal component analysis, mainly used in the field of image processing, etc.
mypca
- 基于Python在Swiss roll上实现PCA，并应用LE算法进行改进。-Python implementation PCA on the Swiss roll, and apply the LE algorithm based on improved.
PCA_Eigen
- Python implementation of PCA by utilizing Eigen value decomposition technique.
kernel_eca-master
- Kernel Entropy Component Analysis,KECA方法的作者R. Jenssen自己写的MATLAB代码，文章发表在2010年5月的IEEE TPAMI上面-Kernel Entropy Component Analysis, by R. Jenssen, published in IEEE TPAMI 2010.(We introduce kernel entropy component analysis (kernel ECA) as a new method fo
face-SVM
- 用PCA和SVM实现人脸识别，是经典的人脸识别Python代码(Face recognition using PCA and SVM)
机器学习常用方法
- 机器学习常用方法的python实现，包括PCA，随机森林，决策树，层次聚类，kmeans，KNN，线性感知机等(Python implementation of common machine learning methods, including PCA, random forest, decision tree, hierarchical clustering, kmeans, KNN, linear perceptron, etc.)