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.
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
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.
proj1
- knn pca 含两个程序，普通的knn与加pca的knn 人工智能 机器学习 统计学习-artificial intelligence, machine learning knn pca statistical learning
KL_SVD_face_recognition
- PCA主成分分析，采用KL投影和SVD分解提取人脸特征向量，最后采用最近邻判别法计算识别率。-Face recognition based on PCA. KL projection and SVD are used to extract face eigenvectors. Recognition rate is calculated by k nearest neighbors(KNN) method.
code_1
- 在机器学习中利用欧氏距离设计一个KNN分类器，实现五折交叉验证，并用PCA进行降维-Develop a k-NN classifier with Euclidean distance and simple voting.Perform 5-fold cross validation, find out which k performs the best (in terms of accuracy)。Use PCA to reduce the dimensionality to 6, then p
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.
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)