搜索资源列表
Apriori(VC程序)
- 本程序是数据挖掘中的关联规则模型中著名的Aprior算法的VC实现程序，可用于知识发现、数据挖掘、人工智能、模式识别等领域（请先解压文件）-The code is the VC implementation of the well-known Aprior algorithm in Association Rule Model of Data Mining field, can be used in Knowledge Discovery, Data Mining, AI, Pattern Re
CBPNET
- BP神经网络VC类，此类对BP神经网络进行了封装，整个类是基于动态构建，可以适合于任何采用BP神经网络的模式识别应用。-BP neural network VC categories, such BP neural network to a package, the whole category is based on dynamic construction, and is suitable for use in any BP neural network applications of pa
聚类程序
- 图像模式识别的聚类器设计，采用VC++实现，和分类器设计相对应。-the designation of image pattern recognation,VC++ is adopted, along with the sort ware designation
pca+lda
- 模式识别PCA+LDA的C++源代码，用于图像的主分量分析-pattern recognition PCA LDA C source code for the image of Principal Component Analysis
PSONet
- 应用PSO训练神经网络Visual C++ 训练结果优于BP,该方法用于模式识别、知识挖掘等-PSO application for training the neural network training Visual C BP superior results, the method for pattern recognition, knowledge mining, etc.
支持向量机的SMO算法VC实现
- 支持向量机的SMO算法VC实现,在模式识别和 许多方面很有用-support vector machine algorithm VC SMO, in pattern recognition and useful in many ways
pattern_recognition
- 模式识别中的几个常用算法，包括ISODATA算法、K－均值算法、感知器算法、LMSE最小误差、贝耶斯分类。-pattern_recognition have some usual algorithm,including ISODATA algorithm,K-means algorithm,apperceive algorithm ,
matlab作业
- 模式识别一份很好的作业,包括线性分类器；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,支持向量机-a very good operation, including linear classification; Minimum risk Bayesian classifier; Supervised learning method Hierarchical clustering analysis; K-L transform effective features, supp
KMEANS聚类
- knn分类模式识别可用于文本挖掘和其他的识别分类,vc代码,-Commission pattern recognition can be used for classification of text mining and other identification classification, vc code,
IRIS数据
- IRIS数据 用于聚类方法 主要用于模式识别、图像分割等-IRIS data for clustering method used pattern recognition, image segmentation, etc.
Eyes Location by Hierarchical SVM Classifiers
- 模式识别中人连识别眼镜定位，用的是matlab支持向量机开发的-human pattern recognition to identify even glasses positioning, using the Matlab SVM Development
CHAPT3
- 神经网络模式识别及其实现，第三章。为大家提供参考。-pattern recognition and neural network to achieve, the third chapter. To provide a reference.
CHAPT4
- 神经网络模式识别及其实现，第四章。 内含：ALOPEX和BACKPROP程序。-pattern recognition and neural network to achieve, the fourth chapter. Intron : ALOPEX BACKPROP and procedures.
CHAPT8
- 神经网络模式识别及其实现，第八章。 内含：KMEANS 、KOHONEN 、LVQ 、SOFM 算法。-pattern recognition and neural network to achieve, Chapter VIII. Intron : KMEANS, KOHONEN, LVQ, SOFM algorithm.
CHAPT9
- 神经网络模式识别及其实现，第九章。 内含：HOPFIELD和LAM -pattern recognition and neural network to achieve, chap. Intron : LAM and HOPFILED
CHAPT10
- 神经网络模式识别及其实现，第10章 内含：ART 和VQ 算法。 终于上传完，本来想一次性发上来的，但结果失败了，只好一个一个发。-pattern recognition and neural network to achieve, Chapter 10 consisting of : ART algorithm and VQ. Finally upload End, originally wanted onto a one-time, but the result of the fai
基于统计模型的人脸识别pca程序
- 统计模式的人脸识别程序，准确度高，MATLAB编写。-statistical model of face recognition procedures, high accuracy, MATLAB prepared.
神经网络的C++源代码
- 模式识别方面的，挺多的，而且很不错的，下了就知道-of pattern recognition, both sport and it is very good, under the know
prtools
- 这个为模式识别工具箱，里面有很多源代码，希望对学习模式识别的读者有用。-pattern recognition to the toolbox, which contains many source code, and I hope to learn a useful pattern recognition readers.
infomaxica
- 信息极大化算法，用在模式识别中可以提高识别率。-information maximization algorithm, used in pattern recognition can improve recognition rates.