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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
KNN_Classifier
- 一个matlab环境下的k近邻分类器,代码中有详细的注释说明,使用方便.-K-Nearest-Neighbor-Classifier MatLab Code
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.
Matlab-Bayesian-classifier-program
- Matlab贝叶斯分类器+(Bayers)程序-Matlab Bayesian classifier+ (Bayers) program
adaboost_for_matlab
- AdaBoost, Adaptive Boosting, is a well-known meta machine learning algorithm that was proposed by Yoav Freund and Robert Schapire. In this project there two main files 1. ADABOOST_tr.m 2. ADABOOST_te.m to traing and test a user-coded learnin
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
k-nn
- k-nearest neighbour classifier source code
bayesclassifier0
- bayes分类器，脱机手写识别，含实验数据-bayes classifier, off-line handwriting recognition, with the experimental data
ClassificationWebinar1
- Bayesian Classifier - matlab procedures Bayesian Classifier - matlab-way Bayesian Classifier - matlab program
SVM
- In this paper, we show how support vector machine (SVM) can be employed as a powerful tool for $k$-nearest neighbor (kNN) classifier. A novel multi-class dimensionality reduction approach, Discriminant Analysis via Support Vectors (SVDA), is in
classifier
- 两类二维相关正态分布条件下的最小错误率贝叶斯分类器，基于最小风险的贝叶斯分类器，Parzen窗法非参数估计分类器程序，Fisher线性判别法分类器程序。-Under normal conditions two types of two-dimensional correlation of minimum error rate of Bayesian classifier, the minimum risk-based Bayesian classifier, Parzen window meth
kvoting
- kvoting classifier useful in pattern recognition
Naive_Bayes_demo
- 使用Naive Bayes Classifier去分类binary data并绘出正确图表-Using the Naive Bayes Classifier to classify binary data and draw the correct diagram
PR1
- 采用身高和体重数据作为特征，在正态分布假设下估计概率密度，建立最小错误率Bayes分类器，写出得到的决策规则.-Height and weight data used as the feature, under the assumption of normal distribution probability density estimation, establish Bayes minimum error rate classifier, written by the decision-mak
ARandWaveletclassifiy
- Texture classifier using wavelet
Textureclassifiers
- Texture classifier using wavelet and A-Texture classifier using wavelet and ANN
naive-bayesian-classifier
- naive bayesian classifier in matlab
liblinear
- 线性分类器的matlab源码，可以实现多累分类-Linear classifier matlab source, multi-tired classification
beyes-classifier-matlab
- Bayes分类器算法设计：一个详细的案例（正常细胞和异常细胞）-Bayes classifier algorithm design