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pattern-recognition-simulation
- 用mushrooms数据对模式识别课程讲述的各种模式分类方法[线性分类，Bayesian分类，Parzen窗，KNN]和特征选择和降维方法[PCA,LDA]进行了模拟，并给出了各类分类方法的结果，-It s the simulations about linear classification ,Bayesian ,Parzen and KNN of pattern recognition .And ,It gives the results.
patternMiniPrj
- a code on pattern recognition which has pca as a dimentional reduction and knn as a classifier.
knnPcaWithGA
- In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification is made by K-In this code I have used GA in supervised PCA to find the best coeficients for overall covariance. the classification i
pcaPknn
- pca+knn，人脸识别有人脸库，在本站左加阔的程序上修改的，注解详细-pca+knn face recognition
PCA
- This the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then KNN is applied for classification.-This is the code for PCA (Principle component analysis). First PCA is used for dimension reduction. And then
matlab
- 简单贝叶斯，PCA自写函数，自写KNN算法，都能运行，还有一些以后补充。-Simple Bayesian, PCA write function, write KNN algorithm, can run, there are some later added.
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.)
Demo
- PCA POUR REDUIRE LA TAILLE DES DONNEES ET APPLIAUER ENSUITE LA CLASSIFICATION AVEC LE KNN KDDCUP99 TRAININSET TESTINGSET