搜索资源列表
exp1
- Fisher线性分类器的设计及Bayes决策的错误率的计算-Calculate Fisher linear classifier design and Bayes error rate decisions
Identification-of-fundus-lesions
- 眼底病变的识别,使用对比度增强的方法。分类器使用了：最小距离分类器、Fisher线性分类器、二次分类器等。-Identification of fundus lesions, using the method of contrast enhancement. The classifier used: minimum distance classifier, Fisher classifier, the two classifier.
stprtool_v2.12
- 统计模式识别工具箱(STPRTool 版本2.12 2013-09-12) 功能有线性判别函数、特征提取、密度估计和聚类、支持向量机、贝叶斯分类器、交叉验证等-Statistical Pattern Recognition Toolbox Methods: Fisher,PCA,GMM,K-means,SVM,Bayes classifier,Cross-validation,KNN,etc.
Fisher1
- Fisher线性分类器的设计,1、掌握Fisher线性判别方法；2、掌握Bayes决策的错误率的计算；3、掌握分类器错误率的估算方法。 -The design of Fisher.
Linear
- 模式识别线性判别的程序实现，产生两个二维正态分布随机样本，分别进行Fisher线性分类和感知器分类。其中main.m是主函数，将三个程序放在同一文件夹中，运行main.m即可得到分类结果。-Pattern recognition linear discriminant program implementation, generate two-dimensional normal random sample, were Fisher linear classifier and Perceptron
FDA-Matlab
- 基于Fisher准则线性分类器设计Matlab实现源代码-Source code linear classifier based on Fisher criterion design Matlab
moshishibie
- 基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
Fisher_Bayes
- 模式识别中Fisher、Bayes分类器设计-Design of Fisher and Bayes Classifier in Pattern Recognition
perceptronClustering
- fisher线性分类，多层感知器非线性分类，K-Means聚类-Fisher linear classification, multilayer perceptron linear classifiers, K-Means Clustering