搜索资源列表
Files-and-Codes
- -data mining-Naive Bayesian Classifier -Decision Tree- K--data mining-Naive Bayesian Classifier -Decision Tree- KNN
SGTlight
- 该代码包实现了直推学习算法(transductive learning),该算法基于kNN的一个扩展。优点是不需要任何启发式诱导，可以防止不收敛或者局部收敛-We present a new method for transductive learning, which can be seen as a transductive version of the k nearest-neighbor classifier.
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_Classifier
- 用MATLAB实现的分类器，算法为KNN，分类效果较好。文件中提供了相关的测试集。-MATLAB classifier, the algorithm for KNN, classification effect is better File to provide the related test set
Eigenface
- 人脸识别Eigenface算法的完整实现，主要基于PCA(主成成分分析)和kNN(k近邻)分类器实现，测试模板库基于ORL和yale，可以达到98 的识别率。-Eigenface complete recognition algorithm, mainly based on PCA (Principal Component Analysis into) and kNN (k nearest neighbor) classifier implementation, test template li
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
knntextclassify
- knn算法实现的文本分类器，有界面，使用VS2010编写，能实现分类功能。-KNN algorithm to achieve the text classifier, the interface, the use of VS2010 to prepare, to achieve the classification function
CLBP
- 利用完整局部二值模式（CLBP）特征提取方法，svm和knn分类器分类进行表情识别的matlab程序源码。并且附有CLBP论文-With a complete local binary pattern (LBP) feature extraction method, svm classifier classification and knn expression recognition matlab program source code. And paper with CLBP
rough-set-codes
- 这是天津大学胡清华老师在粗糙集邻域领域做的最经典的源码，同学们可以在此基础上学习和修改，入口程序已经写好，需要其他方法可以自己添加，MAIN.m是入口程序，参数的意思在子函数里讲的很明白，调用了featureselect_FW_fast.m用来属性约简，几个clsf_dpd文件是使用不同的距离公式来计算属性重要度，选择得到属性结果，使用crossvalidate.m十折交叉算法来计算计算算法精度，该段代码调用了几个分类器，C4_5.m是决策树，KNN.m是最近邻分类器，NEC.m是类似于KNN的
Ch02
- 利用Python语言设计knn近邻算法分类器，包括测试算法数据以及成功应用该算法-KNN near neighbor classifier，demo
ldaknn
- matlab code for lda and knn based classifier
Detection-system-of-skin-diseases-using-image-processing-master
- To classify four types of skin diseases such as Dermatitis, Melanoma, Diabetic foot ulcer, Impetigo,2 types of ML algorithms KNN and SVM are used. To get a visual representation of classifier output the ROC curve is plotted. To measure the performanc