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hdda_toolbox_1.1
- The High Dimensional Discriminant Analysis (HDDA) toolbox contains an efficient supervised classifier for high-dimensional data. This classifier is based on Gaussian models adapted for high-dimensional data. Refer
1
- 这是一个模式识别，关于贝叶斯分类器实现的代码-This is a pattern recognition, Bayesian classifier on the realization of the code
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
parzen
- 分类器的训练与学习是模式识别的一个重要环节,其目的在于按照某种算法,确定判决规则,使之具有自动分类识别的能力。本文介绍了采用Parzen窗法的随机模式分类器,并matlab实现了一个简易的随机模式分类器。-Classifier training and learning is an important part of pattern recognition, in accordance with the purpose of some
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 oper
Id3
- 数据挖掘、机器学习中经典的ID3算法，分类器java实现-Data mining, machine learning in the classical ID3 algorithm java classifier to achieve
shiyan_moshi
- 模式识别的 图像的贝叶斯分类 图像的贝叶斯分类 神经网络模式识别-Bayesian pattern recognition image classification image of the Bayesian classifier neural network pattern recognition
HaarTraining
- OPENCV训练过程的说明文档， 在样本创建；训练分类器；利用训练器进行目标检测作了操作说明 源程序在安装OPENCV时，自带apps\HaarTraining-OPENCV training process documentation, created in the sample training classifier the use of training devices for target detection was
bayesclassifier
- very simple bayesian classifier
k-nn
- k-nearest neighbour classifier source code
NNclust
- Neural Network Based Clustering using Self Organizing Map (SOM) in Excel Here is a small tool in Excel using which you can find clusters in your data set. The tool uses Self Organizing Maps (SOM) - originally prop
S012
- Classification of Traditional Chinese Medicine by Nearest- Neighbour Classifier and Genetic Algorithm
LinearSVC
- Construct a linear SVM classifier from the training Samples and Labels
bayes
- 贝叶斯文本分类器文档贝叶斯文本分类器文档-Bayesian text classifier Bayes Text Classifier Document Document
pattenrecongition
- 通过用最小距离分类判别方法，用MATLAB程序找出最小距离分类判别时的识别界面，从而进行识别已知的两类训练样本，并分析其识别错误率。-By using minimum distance classifier discriminant method, using MATLAB program to find the minimum distance classifier recognition interface when the jud
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 ef
multiboost-0.61.src.tar
- Adaboost实现，主要用于机器学习的多分类器聚合， 最终形成分类效果逐渐增强的分类器-Adaboost implementation, is mainly used for machine learning, multiple classifier aggregation, the final shape classification results show a gradual increase of the classifier
bayes
- 贝叶斯分类和后面的线性、非线性分类器属于有监督学习。 -Bayesian classification and the back of the linear, non-linear classifier belong to supervised learning.
cJava
- 用c和Java写的贝叶斯分类器，针对垃圾邮件处理，可用于过滤垃圾邮件。-With c and the Bayesian classifier written in Java for dealing with junk e-mail can be used to filter spam.
K
- K最邻近分类器设计的MATLAB代码，有代码解释-K nearest neighbor classifier design in MATLAB code