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Description: 基于Bayes和fisher的分类器，便于对通一批数据比较两个分类器的分类结果标有注视，简单易懂，用于初学者入门使用
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Size: 448888 |
Author: gabrielle |
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Description: 贝叶斯一维分类器，用matlab编写，正态分布下男女生判别，最小错误率的贝叶斯分类
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Size: 786 |
Author: binghunxuepo99 |
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Description: BP神经网络分类器C程序-BP neural network classifiers C Program
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Size: 17408 |
Author: 方锐 |
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Description: 利用VC实现的贝叶斯分类器的源代码，可以用来分类或识别，很值得收藏-The source code of bayes classfication using VC
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Size: 7168 |
Author: 刘明 |
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Description: SVM文本分类器源程序，英文界面，包含语料，没有解压缩密码-SVM text classifier source, English interface, including Corpus, not extract passwords
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Size: 2443264 |
Author: lili |
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Description: matlab环境下，基于云模型的分类器，包括基于例子群优化的云分类器，和属性相似度云分类器。-Matlab environment, based on cloud model for the classification, including examples Swarm Optimization Based on the cloud classifier, and attribute similarity cloud classifier.
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Size: 7168 |
Author: 王力 |
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Description: 贝叶斯分类器，通过事先sample样本的训练，能够快速准确的实现对待分类样本的识别分类(Bias classifier, through the training of sample samples in advance, can quickly and accurately realize the classification and classification of the classified samples)
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Size: 95232 |
Author: naruto_yk@163.com
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Description: 二元分类器,最简单的线性二元分类器,用罗基斯提克公式;来进行计算(Two yuan classifier, the most simple linear classifier for two yuan, Luo Keith Feldman formula to calculate;)
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Size: 16384 |
Author: Slark
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Description: 非线性分类器设计—支持向量机
matlab程序运行
非线性支持向量机（SVM）的原理、核函数类型
libSVM工具箱安装的一般流程(Nonlinear classifier design support vector machines)
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Size: 22528 |
Author: 吴鹏12138
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Description: 利用Hog特征和SVM分类器进行行人检测(Using Hog features and SVM classifiers for pedestrian detection)
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Size: 59158528 |
Author: Elena0806
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Description: 里面有随机森林，C4.5，ID3，SVM等分类器的matlab代码(There are random forest, C4.5, ID3, SVM classifiers matlab code)
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Size: 5283840 |
Author: jack3
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Description: BP神经网络算法，贝叶斯-最小距离分类器，可以用于模式识别。(BP neural network algorithm, Bayesian minimum distance classifier, can be used for pattern recognition)
Platform: |
Size: 5120 |
Author: 123456梦
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Description: 模式识别分类器，利用Fisher判别对数据进行分类以及BP神经网络的方法进行分类(Pattern recognition classifier, the use of Fisher discriminant classification of data and BP neural network method for classification)
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Size: 1024 |
Author: 角夺天下
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Description: 基于BP的分类器设计，一个案例，适合初学者(Classifier design based on BP, a case, suitable for beginners)
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Size: 53478400 |
Author: 艺宝
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Description: 这是bp神经网络的M文件，包括BP网络的第一阶段学习期（训练加权系数wki，wij)，BP网络的第二阶段工作期（根据局训练好的wki，wij和给定的输入计算输出），程序里有详细注释。该程序被用来作为分类器使用。(This is the BP neural network M files, including the first phase of BP network learning period (training weighting coefficient wki, wij), the second phase BP network work period (based on the Bureau trained wki, wij and given input calculation Output), the program has a detailed comment. This program is used as a classifier.)
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Size: 1024 |
Author: Alise
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Description: ELM是基于深度学习的分类器，运算速度快。
在B_data.m里导入待分类矩阵B.mat（1-n列为特征值，n列为标签）；运行B_data.m；再打开fuzzyEn_main.m并运行即可。(ELM is based on depth learning classifier, computing speed.
In B_data.m imported matrix to be classified B.mat (1-n as eigenvalues, n as a label); Run B_data.m; Then open fuzzyEn_main.m and run.)
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Size: 12288 |
Author: Alise
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Description: 利用R语言实现高级分类器,支持向量机( SVM)(Advanced classifier, support vector machine (SVM))
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Size: 1024 |
Author: tectal |
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Description: 一、用python或matlab编写一个KNN分类器
训练集为semeion_train.csv（手写体识别）
测试集为semeion_test.csv
计算在测试集上错误率（k=1,k=3,k=5,k=10）
?(1. Write a KNN classifier with Python or matlab
Training set is semeion_train.csv (handwriting recognition)
The test set is semeion_test.csv
The error rate is calculated on the test set (k=1, k=3, k=5, k=10).)
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Size: 67584 |
Author: 苏日月 |
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Description: 内有鸢尾花数据的5折交叉验证实验代码，采用的分类器是贝叶斯分类器。(There is a 5-fold cross-validation experiment code for the iris data, and the classifier used is a Bayesian classifier.)
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Size: 15360 |
Author: The_one |
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Description: 在matlab平台下，简单实现svm分类器功能（数据仓库与数据挖掘课程）(Simple implementation of SVM classifier)
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Size: 1024 |
Author: 哔哔 |
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