搜索资源列表
libsvm-mat-2[1].89-3
- svm多分类器，包括多分类和GA算法和PSO算法优化的SVM-svm multi-classifier, including the multi-classification and GA algorithm and PSO algorithm for optimization of SVM
Ababoostdemo
- ababoost级联分类器,通过一组弱分类器形成一个强分类器-cascade of classification
FDA
- Fisher线性判别分类器源代码，包括训练函数和测试函数。-Fisher Linear Discrimination (FLD) classifier source code, including training function and test function.
Bayes
- 一个比较简单的模式识别问题。用female.txt 和male.txt 的数据作为训练样本集，建立Bayes 分类器，用测试样本数据set1.txt、set2.txt、set3.txt 对该分类器进行测试,分别应用单个特征及两个特征进行实验-A relatively simple pattern recognition problem. Female.txt and male.txt use data as a training sample set, the establishment of
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
NaviveBayesClassify
- java代码的朴素贝叶斯分类器 java代码的朴素贝叶斯分类器 调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
matlab
- 神经网络分类器的实现方法，毕业论文很有用-Neural network classification method for realizing, by graduation
1
- 这是一个模式识别，关于贝叶斯分类器实现的代码-This is a pattern recognition, Bayesian classifier on the realization of the code
fisher
- Fisher分类器，用于对多维采样点进行分类。可根据类别数修改分类器，我们的模式识别作业。-Fisher classifier, multi-dimensional sampling points used for classification. Can be modified according to the number of classification categories, and our pattern recognition operation.
adaboost-Matlab
- 用matlab实现的adaboost分类器算法-Implemented with the matlab adaboost Classifier
Bpn1ha
- 用BP神经网络分类器进行分类识别的matlab源代码-Using BP Neural Network Classifier for classification and identification of the matlab source code
beiyesi
- 一个简单的贝叶斯分类器，有实验步骤和实验数据。-A simple Bayesian classifier, there are experimental steps and the experimental data.
BNC
- 朴素贝叶斯分类器（Naive Bayes Classifier），可以分类任意属性个数和目标状态的离散样例。-Naive Bayesian classifier (Naive Bayes Classifier), can be categorized arbitrary number of attributes and objectives of the state of the discrete sample.
tezhengxuanzhe
- 利用最小互信息实现向量的特征选择，优化分类器的设计，原创-The use of mutual information to achieve the smallest feature selection vectors, optimizing the classifier design, originality
learners
- WeakLearner,弱分类器，可供Adaboost训练使用，补充-WeakLearner, the weak classifier, for training in the use of Adaboost, supplementary
beiyesifenleiqi
- 朴素贝叶斯分类器，对于连续变量情形，此算法将连续变量进行离散，分类效果较好-Naive Bayesian classifier, the continuous variable case, this algorithm for discrete variables, the classification results better
prtools
- 一个强大的统计模式识别工具箱，包含高斯分类器，高斯混合模型，主成分分析，支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
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
- 贝叶斯分类实验，设计简单的线性分类器，了解模式识别的基本方法。掌握利用贝叶斯公式进行设计分类器的方法。-Bayesian classification experiment is designed to be simple linear classifier, know the basic methods of pattern recognition. Master the use of Bayesian classifier design formula method.
libsvm-mat-2.88-1
- matlab编写的SVM分类器源代码，效果不错，是很好的东西哦！-matlab prepared SVM classifier source code, well, things are good Oh!