搜索资源列表
PCA_LDA.rar
- 《机器学习》课上的作业，PCA和LDA降维，尽管网上很多，但很少注释，另外细节上也没注意。这里有很详细的注释。另外还附上一个Naive贝叶斯分类器，大家可以作比较。附带的图像包是OLR人脸。ReducedDim为想要提取的特征数，不是百分比！," Machine learning" classes on the homework, PCA and LDA dimensionality reduction, even though a lot of online, but f
Matlab贝叶斯分类器+(Bayers)程序
- Matlab贝叶斯分类器+(Bayers)程序.rar
bayes
- 用matlab完成基于最小错误率的贝叶斯分类器的设计-Done with matlab error rate based on the minimum design of Bayesian classifier
Bayes
- 使用matlab对基于最小错误率的Bayes分类器进行仿真，编写了相应的程序，分为协方差相等和不相等两种情况，最后画出了三类的分界线-Using matlab to the smallest error rate based on the Bayes classifier to carry out simulation, the preparation of the corresponding procedures, divided into equal covariance and unequ
SVM-classifier
- 用matlab实现非线性支持向量机分类器对多类进行分类。-Using matlab to achieve non-linear support vector machine classifier for multi-class classification.
randomForest_4.5-36
- 随机森林分类器 可以实现分类 适合初学者学习参考-Neural network classifiers can be used to classify information for beginners to learn
BayesianClasser
- 贝叶斯分类器matlab版，可以用于图像分类，检索，模式识别相关工作-bayes classifier is useful to image classify
Classifier_min_dist_f
- 最小距离分类器，matlab环境下，可直接调用-Minimum distance classifier, matlab environment, can be directly invoked
adaboost-Matlab
- 用matlab实现的adaboost分类器算法-Implemented with the matlab adaboost Classifier
BPPatternRecognition
- MATLAB编写的误差反向传播（BP）神经网络简单分类器。-MATLAB prepared by error back-propagation [BP] neural network classifier easy.
Bayes-Matlab
- 基于最小错误率，和最小风险的Bayes分类器Matlab 实现 -Bayes Matlab
ClassifierforIRISdata
- 用于对IRIS数据进行分类的各种分类器，用于对多维采样点进行无监督分类。可根据类别数修改分类器，模式识别作业的部分代码。-IRIS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of classifi
SVM
- 在matlab的环境中，根据各种算法提取到的信息来输入SVM分类器中进行训练-classify different various sorts of information in svm
Ensemble
- 用adaboost算法生成基支持向量机分类器，并对识别结果进行简单投票法集成。附有支持向量机工具箱和adaboost算法流程说明。-Adaboost algorithm to generate the base with a support vector machine classifier, and the recognition result is a simple voting method integration. With support vector machine algorith
svm
- SVM神经网络中的参数优化---如何更好的提升分类器的 性能-a important and popular classifier
Adaboost-detection
- 基于ADABOOST的人脸检测程序，有分类器训练和测试-face detection based on adaboost
SVM
- SVM分类器的matlab实现，针对提供的花的特征分类，并交叉验证(The matlab implementation of SVM classifier aims at providing the feature classification of flowers and cross validation)
线性分类器
- 该程序能够实现对于一个样本完成感知机，最小二乘法，凸优化方法解决SVM和matlab自带函数解决SVM的四种程序，并且通过修改部分参数可以完成不同效果。(The program can be achieved for a complete sample perceptron, least squares method, convex optimization method to solve SVM and MATLAB with four program function to solve th
分类器
- 在matlab平台下，简单实现svm分类器功能（数据仓库与数据挖掘课程）(Simple implementation of SVM classifier)
randomforest-matlab
- 随机森林分类器的MATLAB代码，方便调用使用随机森林（RF）通过MATLAB平台(MATLAB Code of Random Forest Classifier)