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classification
- 该程序包实现了几个常用的模式识别分类器算法，包括K近邻分类器KNN、线性判别方程LDF分类器、二次判别方程QDF分类器、RDA规则判别分析分类器、MQDF改进二次判别方程分类器、SVM支持向量机分类器。 主程序中还有接口调用举例，压缩包中还有两个测试数据集文件。-The package to achieve a number of commonly used pattern recognition classifier algorithms, including K neighbor class
Fisher_example
- Fisher线性判别分类器应用于IRIS数据集的例子-An example of Fisher linear discriminant Classifier applied on IRIS Data Set
fisher
- 基于Fisher准则线性分类器设计，理解Fisher准则方法确定最佳线性分界面方法的原理，以及Lagrande乘子求解的原理。-Based on Fisher linear classifier design guidelines, understanding the criteria Fisher method to determine the best linear method of the principle of the interface, as well as solving La
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.
Fisher
- fisher线性分类器算法，算法实现三维空间中样本中各点的分类情况。-fisher linear classifier algorithm to achieve three-dimensional sample points in the classification.
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.
depart
- 包括Bayes分类器、线性分类器、非线性分类器、神经网络分类器等-Including Bayes classifier, a linear classifier, non-linear classifier, such as neural network classifiers
svm
- 这是在模式识别中常用的一个分类器，不过这是一个线性2分类问题，对于多分类问题，可以直接转化~-This is commonly used in pattern recognition, a classifier, but this is a linear 2 classification for multi-classification problems, can be directly translated into
libsvm-2.89
- 是一種線性方成的分類器。SVM透過統計的方式將雜亂的資料以NN的方式分成兩類，以便處理。LIBLINEAR is a linear classifier for data with millions of instances and features. It supports L2-regularized logistic regression (LR), L2-loss linear SVM, and L1-loss linear SVM. -Main features of LIBLINEA
fisherandbayes
- 模式识别实验作业 bayes 和 fisher 线性分类器 有实验报告-Pattern Recognition and bayes experimental operation fisher linear classifier experimental report
fisher
- fisher classfier,主要用于模式识别中的分类，是一种常用的线性分类器。其实严格依据fisher准则编写的。-fisher classfier, mainly used for pattern recognition in the classification, is a commonly used linear classifier. In fact, strictly in accordance with guidelines of the fisher.
work_for_pattern_recognition
- 通过设计线性分类器；最小风险贝叶斯分类器；监督学习法分层聚类分析；K－L变换提取有效特征，设计支持向量机对给定样本进行有效分类并分析结果。-By designing a linear classifier minimum risk Bayes classifier supervised learning method hierarchical cluster analysis K-L transform to extract efficient features, designed to
vbsensor
- 实现线性分类器的设计，根据线性分类器的特点，利用线性函数来对模式进行分类，编程语言为VB，实现了两类模式的判别。-To achieve a linear classifier design, according to the characteristics of a linear classifier, using a linear function of the mode of classification, programming languages VB, realized the two
linear
- 实现了各种线性分类器，对初学者非常有用的代码。-To achieve a variety of linear classifier, the code is very useful for beginners.
linearclassifier
- 本文设计一个线性的分类器，可以对样本进行正确的分类-This design a linear classifier, can be correctly classified samples
Linear-classifier
- 线性分类器，线性分类器设计步骤，感知器准则，knn分类器等-Linear classifier, linear classifier design steps, perceptron criterion, knn classifiers
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
fisher
- 基于Fisher准则线性分类器设计 模式识别 最佳线性分界面 Lagrande乘子求解-Solving the Lagrande multiplier based on the the Fisher criterion linear classifier design patterns to identify the best linear interface
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
Nonlinear-classifier
- 非线性分类器，包括ANN-BP算法的matlab代码实现和性能分析，以及近邻法的实现-Non-linear classifiers, including ANN-BP algorithm matlab code and performance analysis, and nearest neighbor methods to achieve