搜索资源列表
Naive-Bayesian-Data-Classification
- 数据挖掘基于朴素贝叶斯分类算法实现 该类是训练集的类-Data mining based Bayesian classification algorithm to achieve
Bayes-classifier-code
- 朴素贝叶斯分类器程序代码 采用朴素贝叶斯分类器算法，使用C++语言对英文文本进行分类，实现了一个文本分类器功能-Naive Bayesian classifier program code using Bayesian classification algorithm, using C++ language English text classification, to achieve a text classification function
bayes
- 贝叶斯分类算法源代码，用于对文本文件进行分类-Bayesian classification algorithm source code, used to classify a text file
matlab
- 贝叶斯分类器MATLAB经典程序 朴素贝叶斯分类matlab实现 贝叶斯分类算法-bayes matlab program
Naive-Bayes-Text-Classification
- 使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation
BeiyesiClassfication
- 数据挖掘的贝叶斯分类算法的java实现-Bayesian classification algorithm for data mining
22222
- 模式识别中的贝叶斯分类器算法的实现及结果展示。-pattern recognition
MachLearn_ml
- MachLearn:已经实现了朴素贝叶斯分类器、决策树、支持向量机算法。在Linux上可成功编译-MachLearn: has achieved a naive Bayes classifier, decision trees, support vector machine algorithm. Successfully compile on Linux
code
- 机器学习 R语言对与数据进行分类，包括决策树，SVM，贝叶斯，percepttron等算法。需要注意之前要安装相应的R工具包。具体工具包名称百度一下就能容易获取。-R for language and machine learning to classify data, including decision trees, SVM, Bayesian, percepttron algorithm. To install the appropriate R toolkit before need t
bayes
- 朴素贝叶斯算法解决分类问题（二分类）的matlab代码(Naive Bayes algorithm to solve classification problems (two categories) of matlab code)
3.贝叶斯分类器
- 贝叶斯定理是用数学的方法来解释生活中大家都知道的常识，而机器学习使用的各种算法中，最常见的就是贝叶斯定理。此代码为贝叶斯分类python代码，包含高斯贝叶斯分类器，多项式贝叶斯分类器和伯努利贝叶斯分类器，并有具体的数据例子进行仿真比较(Bias's theorem is a mathematical way to explain all the common sense in life, and machine learning using various algorithms, the mos
EMR
- 使用的是贝叶斯算法，进行文本的分类和词频统计(Using the Bayesian algorithm, the text classification and word frequency statistics)