搜索资源列表
MLDemos-0.3.0-source
- 机器学习源代码：内含多种机器学习算法，如GMM、KNN、Kernel PCA等等，供参考。-Machine learning source code: contains a variety of machine learning algorithms, such as GMM, KNN, Kernel PCA for reference.
ToolBox
- matlab图像处理工具相，使用了主成分分析，ANN，SVM等方法。-This toolBox used in the image processing(feature extraction and classification) PCA,LDA,ICA,DCT,RBF,RBE,GRNN,KNN,minimum distance,SVM, and others
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
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
FN-KNN
- 基于k近邻规则的PCA方法，改进的主元分析法用于故障诊断-PCA based on KNN
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
Knn-and-PCA.tar
- good implementation of KNN and PCA for face dataset
PCA
- PCA matlab code that reconize the face detection using knn and bayes mle
MachineLearning-master
- 一些常见的机器学习算法的实现代码。包括PCA、kNN、logistic regression、ManifoldLearning、SVM、GMM等-Some common machine learning algorithm implementation code. Including PCA, kNN, logistic regression, ManifoldLearning, SVM, GMM, etc.
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)
LDA人脸识别程序
- 在MATLAB2014b版本，进行人脸识别，包含PCA降维、LDA线性判别、KNN最近邻算法等技术(In MATLAB2014b version, face recognition is carried out, including PCA dimension reduction, LDA linear discriminant analysis, KNN nearest neighbor algorithm and so on.)
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