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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.
homework
- 使用基于PCA+KNN算法实现的人脸识别，本算法的优点在于使用的是基于2DPCA的方法，计算时间更短，效率更高。-PCA+ KNN-based face recognition algorithm, the advantage of this algorithm is based on the use of 2DPCA method in calculating the time is even shorter, more efficient.
pca
- pca lda knn 进行分类的pca部分的代码-pca lda knn classification of the pca part of the code
pca_knn
- 本方法采用pca进行特征提取，knn分类器进行人脸识别。-The method of feature extraction using pca, knn classifier for face recognition.
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
pcasearch
- 基于焊接图片的pca降维，knn分类算法。-Pca-based solder image dimension reduction, knn classification algorithm.
facepcalda
- 一个用PCA和LDA降维，并用knn分类的人脸识别例程-A dimension reduction using PCA and LDA, and face recognition with the knn classification routines
mtfknn
- 国外网站下载的程序包，包含mindist_classifier_type，pca，PNN，svm等几个算法程序，希望对大家有用。-Foreign website package, including mindist_classifier_type, pca, PNN, svm algorithm program, and several, we hope to be useful.
knn
- this a program that combine knn classifier with PCA to classify vehicle data set.-this is a program that combine knn classifier with PCA to classify vehicle data set.
pcaimage
- a trial version of PCA and Knn to face recognition. This file is not a full version of a code knn, however it is a good approach to start one.
yunxing
- PCA+KNN人脸分类，对于给定样本，训练其中的一部分，在pca降维后，用knn分类-PCA+KNNFace classification
PCA
- 该算法主要是模式识别的分类算法，KNN 最近邻分类算法-The algorithm is pattern recognition classification algorithm, KNN nearest neighbor classification algorithm
KNN
- 基于PCA降维的KNN，最近邻分类matlab实现。-PCA dimensionality reduction based the KNN, the nearest neighbor classification matlab.
knn
- k近邻分类器分类 包括PCA功能 归一化 并且带有交叉检验功能-k nearest neighbor classifiers including PCA function normalized and with cross-validation function
PCA
- 采用INP数据（145*145*200），该数据有16个类别， PCA进行数据降维，然后对降维数据采用kNN分类（k=1）。(Using INP data (145*145*200), the data has 16 categories, PCA carries out data reduction, and then uses kNN classification for dimensionality reduction data (k=1).)
knn
- 首先对minist数据集进行pca降维，然后对降维后的数据进行KNN分类(First, the Minist data set is reduced by PCA, and then the data of the reduced dimension is classified by KNN)
face-KNN
- 用PCA算法和KNN算法实现人脸识别，参数可以自己调整(The PCA algorithm and the KNN algorithm are used to realize the face recognition, and the parameters can be adjusted by themselves)
PCA
- 对高维图像进行PCA和KNN分类器处理转换为低维图像(use PCA and KNN for high dimensional image)
PCA+mnist
- 基于python，利用主成分分析（PCA）和K近邻算法（KNN）在MNIST手写数据集上进行了分类。 经过PCA降维，最终的KNN在100维的特征空间实现了超过97%的分类精度。(Based on python, it uses principal component analysis (PCA) and K nearest neighbor algorithm (KNN) to classify on the MNIST handwritten data set. After PCA dime