搜索资源列表
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
svmcls
- 李荣陆老师做的文本分类器,特征选择方式包括全局和按类别选取,概率估算方法支持基于文档(布尔)统计和基于词频统计,支持三种特征加权方式,特征评估函数包括信息增益、互信息、期望交叉熵、X^2统计,文本证据权重,右半信息增益,分类方法包括支持向量机SVM和K近邻KNN,(text classifier that was written by Li Ronglu)
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