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Classifier4J-0.6-dist
- Classifier4J是一个很好的基于java的分类器,里面有Native bayes和KNN等方法的文本分类.另外还 提供了分词和自动摘要等功能-Classifier4J is a very good java-based classifier, which has Native bayes and KNN methods, such as text classification. It also provides a summar
KNN
- KNN最近邻分类器和预测器，数据挖掘课程上的作业-KNN nearest neighbor classifier and prediction, data mining courses on the operation
PerceptronAlgorithm
- 感知器是神经网络里面的一个重要分类器，本例子采用matlab实现单个神经元感知器，分类效果较好~-Perceptron neural network which is an important classifier, using the example of the realization of a single neuron matlab perceptron, classification better ~
all
- 模式识别分类器的设计，此为K均值法源码，经调试通过。所用数据为标准IRIS。-Pattern recognition classifier design, the source for the K-means, after debugging through. Data used as the standard IRIS.
NaiveBayes
- 这是一个matlab 开发的naive Bayes 分类器算法。可以供大家共享，修改和批评指正。这个是修改的别人的。如果有务，联系： l_y_f_2005@163.com-This is a matlab developed algorithm naive Bayes classifier. Be available for everyone to share, modify, and criticism. This is a mo
classifier
- 这一个应用小程序,它提供了六种度量方式进行分类,在模式识别中可以非常方便地选择某一度量方式进行为类.-This is an application of small procedures, it provides a way to classify the six metrics, in pattern recognition can be very convenient to choose a measurement method f
Classification.NET
- 机器学习各种分类器代码，C#。 包括AdaBoost,DecisionStump,NearestNeighbout,SVM等，包括测试数据的生成-A variety of machine learning classifier code, C#. Including AdaBoost, DecisionStump, NearestNeighbout, SVM, including the generation of test dat
belief_NN
- A neural network classifier based on Dempster-Shafer theory
invariantMomentShapeDetection
- 根据：基于不变矩特征和神经网络的图像模式模糊分类 论文 在matlab上做的实验，有7个不变矩生成和神经网络分类的代码，还要论文原文-According to: Based on the characteristics of moment invariants and neural network image mode fuzzy classification papers in matlab to do the experiment,
Adaboost
- 人脸识别论文：《采用Adaboost算法进行面部表情识别》《动态权值预划分实值Adaboost人脸检测算法》《改进的AdaBoost分类器在视频中的体育场景检测》-Face recognition thesis: the use of Adaboost algorithm to identify facial expressions, dynamic weight pre-classified real Adaboost face
libsvm
- A SVM classifier, with detail documents.
NaiveBayes
- 贝叶斯算法是基于贝叶斯定理 P(H|X) = P(X|H)P(H) / P(X).。对于多属性的数据集，计算 P(X|Ci) 的开销非常大，为减低计算复杂度，我们做条件独立的假设，即给定元组的类标号，假定属性值有条件地相互独立，即在属性间不存在依赖关系。此程序仅为算法的一个实现，根据训练数据训练分类器-Bayesian algorithm is based on the Bayes theorem P (H | X) = P (X |
sasdw
- 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
code_about_AdaBoost
- AdaBoost算法中寻找最优阈值分类器的代码优化.htm-AdaBoost algorithm to find the optimal threshold classifier code optimization. Htm
Bpn1ha
- 用BP神经网络分类器进行分类识别的matlab源代码-Using BP Neural Network Classifier for classification and identification of the matlab source code
SemanticAndaptationofNeuralNetwork
- Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis wit
svm_src
- Support Vector Machine Classifier(SVM) 基于支持向量基的图像分类方法，程序变得很好，国外网站上下的，是一个完整的工程-Support Vector Machine Classifier (SVM) based on support vector-based image classification methods, procedures have become very good, abroad
SVMclassification
- 介绍了SVM分类器原理，已经改进的算法，还有改进后的实验结果等等，是一个难得的好资料！ -Introduced the principle of SVM classifier, the algorithm has been improved, as well as improved experimental results, etc., is a rare good information!
KNNVB
- 最短距离法分类器VB实现，包括有详细例程说明-The shortest distance classifier VB to achieve, including a detailed descr iption routines
Classification
- 模式分类。包括:训练样本设计、模板匹配分类器、Bayes分类器、线性函数分类法、非线性分类法、神经网络分类法-Pattern classification. Include: training sample design, template matching classifier, Bayes classifier, a linear function of classification, non-linear classificati