搜索资源列表
Bayesian.Classifier
- 贝叶斯分类实验 模式识别课程实验所用的源程序-Bayesian classifier experimental pattern recognition programs used in the experimental program
Classifier.rar
- 文本的分类器C++代码，可供在分类引擎中使用,classifier
NN_java.zip
- kNN classifier in JAVA,kNN classifier in JAVA
sasdw.rar
- 现有数字信号自动调制识别方法大多只适用于无记忆信号，如PSK、ASK、FSK信号等。将有记忆 信号(MSK信号)和无记忆信号一起考虑，提出了一种改进的数字信号自动识别方法。该方法采用信号的瞬时统 计量作为特征参数，采用多层神经网络作为分类器。计算机仿真表明：当噪声采用高斯白噪声，并且信噪比大于 l5 dB时，识别率高于96％ ；当信噪比不低于l0 dB时，识别率不低于90％。,Existing digital signal automatic modulation recognition
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
classifier
- 在java中运用weka中的随机森林算法实现的分类器的代码-The use of weka in java in a random forest classifier algorithm code
C4.5
- 决策树 C4.5 分类器, 用java语言写的.大家一起参考一下. -C4.5 decision tree classifier, using the java language. U.S. with reference.
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
naive_bayes_numeric
- 利用matlab实现的朴素贝叶斯分类器的源代码，可以用来分类或识别，自己编写的，请多指教-Using matlab Naive Bayesian classifier to achieve the source code can be used to classification or recognition, I have written, and like him Zhijiao
Bayes_example
- Bayes分类器应用于IRIS数据集的例子-An example of Bayes Classifier applied on IRIS Data Set
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
SVMclassifier
- SVM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。-SVM classifier, multi-dimensional sampling points used for classification. Can be modified according to the number of classification categories, and our pattern recognition operation.
judger
- 最小错误率和最小风险贝叶斯分类器，附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data
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
PNN
- pnn分类器算法，用MATLAB源码，可以进行分类。-pnn classifier algorithm, using MATLAB source code can be classified.
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
neighborhood-classifier
- neighborhood classifier -neighborhood classifierneighborhood classifier
linear classifier
- 实现简单的线性分类器，包括图形界面可视化结果(To achieve a simple linear classifier)