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classification-CPP
- 分类器程序，C++，用于检测识别手写的数字，内含多种算法。个人感觉算法非常齐全。-C++ classification
recognise
- 基于二叉树的多类分类器识别，是模式识别中的基础，对二叉树进行了描述。-Binary tree-based multi-classifier recognition, pattern recognition is based on the binary tree is described.
fisher
- 基于fisher准则的线性分类器，每类7个样本-Criteria based on fisher linear classifier, each class of seven samples
MSE
- MSE最小二乘法matlab实现，MSE是人工智能的一个简单的两类分类器，用到学生数据集（两类2维）和sona10折叠2类数据集-Matlab least squares method to achieve MSE, MSE is a simple two types of artificial intelligence classification, use student data set (two 2-D) and Class 2 data sets folded sona10
bayesPfisher
- 基于bayes准则和fisher准则的线性分类器。bayes是对细胞的判别分类 分为最小错误率和最小风险两种；fisher是对两类进行判别-Bayes guidelines and criteria based on fisher linear classifier. bayes classification is divided into cells, determine the minimum error rate and minimal risk of two kinds fisher
classer
- 这是一个贝叶斯分类器，用于人工智能的科研学习和工作，有例子可以参考-Bayesian classifier, artificial intelligence for research study and work, there are examples you can refer to
Ensemble-learning-based-on-GMDH
- 基于自组织数据挖掘的多分类器集成选择的程序-Multiple classifiers ensemble selection based on GMDH
Kuschner-BayesianNetwork-feature
- Kuschner论文，贝叶斯网络方法在质谱数据特征选择。其中关于机器学习中贝叶斯分类器部分有完整原理分析，可以用于认知无线电网络的频谱感知等新领域。含有matlab程序大于100页，子函数很多。-Kuschner paper, Bayesian network methods of feature selection in mass spectrometry data. One of the Bayes classifier machine learning part of a complete
eye-classifier
- 已经训练好的人眼检测分类器，可以直接用于opencv中，方便大家学习-Detection of the human eye has been trained classifier, can be directly used in opencv, to facilitate learning
bayes_classifier_guassin-
- 贝叶斯分类器，首先生成3000个高斯分布的点，1000个点做训练集，2000个点做测试集。先运行data_generator.m自动生成两个集盒，再运行bayes_classifier.m进行分类-Bayesian classifier, the first generation 3000 Gaussian distribution of points, 1000 points to do the training set, 2000 points to do the test set. Aut
SVM-faces-recognition
- 用支持向量机作为分类器，在人脸识别中获得很好的识别效果，很适合学习使用-SVM faces recognition
Pattern-recognition
- 《模式识别》，是本人用matlab语言编程来实现贝叶斯分类器的设计-" Pattern recognition" is a programming language I use matlab to implement Bayesian classifier design
testKNN
- KNN 分类器的VC实现。。。可以直接运行。-KNN classifiers realize the VC. . . Can be directly run.
class
- 通过计算单词的增益值，取前K个单词作为文本的特征向量，用来作分类器用。-feature vector
perceptron
- 感知器算法的分类器，学模式识别的可以看看，可以实现2维向量的线性分类-Perceptron classifier algorithm, learning pattern recognition can see, you can achieve 2-dimensional vector of linear classification
classifier_distance
- 经典的距离分类器，采用欧氏距离作为量度，初学模式识别的同学也能看懂-The classic distance classifier, using Euclidean distance as the measure, Pattern Recognition beginner students can understand
nonliner-class
- 非线性分类器，对于任意输入的2维向量采用聚类算法分类-Non-linear classifier, for any type of two-dimensional vector classification using clustering algorithms
untitled
- 利用opencv实现机器学习，K近邻分类器的小例子-Achieved using machine learning opencv, K small example of neighbor classifier
SVM_SteveGunn
- SVM分类器，是一种比较经典的分类算法，常用作图像识别分类中的分类器，这是作者改进过的一种SVM分类算法。-svm satisfaction
feature-exacte
- 本文提出了一种基于特征融合的纹理图像分类方法，它结合了纹理图像的特 点和框架小波变换方法，处理过程中充分考虑了图像各尺度间的依存关系以及不 同频带中所包含的图像纹理信息，利用支撑矢量机作为分类器，对标准纹理库中 的图像进行了仿真实验。 -This paper presents a texture feature fusion based image classification method, which combines the special texture Point