搜索资源列表
GailvLun
- 讲授贝叶斯原理，是概率论中很重要的一个分支-Bayesian principles of teaching is very important in probability theory a branch of
beiyesi
- 一个简单的贝叶斯分类器，有实验步骤和实验数据。-A simple Bayesian classifier, there are experimental steps and the experimental data.
BNC
- 朴素贝叶斯分类器（Naive Bayes Classifier），可以分类任意属性个数和目标状态的离散样例。-Naive Bayesian classifier (Naive Bayes Classifier), can be categorized arbitrary number of attributes and objectives of the state of the discrete sample.
Bayes8054
- 本源程序搜集整理贝叶斯算法判断垃圾邮件，有着很强的功能-Finishing the source Bayesian algorithm to determine the collection of spam, there is a strong function
beiyesifenleiqi
- 朴素贝叶斯分类器，对于连续变量情形，此算法将连续变量进行离散，分类效果较好-Naive Bayesian classifier, the continuous variable case, this algorithm for discrete variables, the classification results better
Bayes
- 贝叶斯分类实验，设计简单的线性分类器，了解模式识别的基本方法。掌握利用贝叶斯公式进行设计分类器的方法。-Bayesian classification experiment is designed to be simple linear classifier, know the basic methods of pattern recognition. Master the use of Bayesian classifier design formula method.
beiyesi
- 一个经典的贝叶斯算法，可以用在很多项目，也可以提供大家学习和参考-A classical Bayesian algorithm, can be used in a lot of projects, may also provide U.S. study and reference
NB
- 朴素贝叶斯算法，以函数形式实现，花了一个上午的时间-Naive Bayes algorithm, in order to function the form of implementation, a morning flower time
classify_NN
- 贝叶斯分类，已经调试成功，大家共享一下。-Bayesian classifier, has been testing the success of everyone to share about.
Bayes
- 该代码包是一个基于贝叶斯分类器的分类程序，内含数据集、可运行程序-The code package is a classifier based on Bayesian classification procedures, including data sets, can run the program
11912873naivebayesclassificationbasedongenetic
- 贝叶斯网络分类器的一点小程序，也许有用，请各位资源下载-Bayesian Network Classifier for small procedures, may be useful, please download resources
code
- 本贝叶斯分类器可以实现对二维高斯分布样本的分类-The Bayesian classifier can achieve two-dimensional Gaussian distribution of the classification of samples
105359_1148
- 为了测试评估贝叶斯分类器的性能,用不同数据集进行对比实验是必不可少的. -In order to test the assessment of the performance of Bayesian classifier, and compare different experimental data sets is essential.
BayesNetWorkMSBNx
- 数据挖掘中贝叶斯信念网络的软件，可进行描述与分类。-Data Mining of Bayesian belief networks in software, can be described and classified.
node
- 模拟网络通信，对其中的信息进行统计，用贝叶斯算法计算特定信息的后验概率，自动日志-Simulation of network communications, for which statistical information, using Bayesian algorithm-specific information on a posteriori probability, automatic log
facedetcer
- 基于贝叶斯理论的指纹识别算法及学习套件, 使用贝叶斯概率论实现对指纹识别,特征码提取,特征对数获取的功能-Based on Bayesian theory and learning algorithm for fingerprint identification kits, the use of Bayesian probability theory to achieve fingerprint, signature extraction, characteristics of the func
bayesian1
- 用贝叶斯算法解决数据挖掘中分类问题，先用训练集进行训练，再用测试集进行测试-Bayesian data mining algorithm to solve classification problems in the first training set used for training, re-use test set for testing
bayesian1
- 实现数据挖掘的关联规则贝叶斯算法，打开可直接运行-Data mining association rules Bayesian algorithm can be directly run to open
bayescode
- 贝叶斯分类，线性非线性分类，神经网络分类-Bayesian classification, linear non-linear classification, neural network classifier
K-meansNB
- ：将K—means算法引入到朴素贝叶斯分类研究中，提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me．arks算法对原始数据集中的完整数据子集进行聚类，计算缺失数据子集中的每条记录与 个簇重心之间的相似度，把记 录赋给距离最近的一个簇，并用该簇相应的属性均值来填充记录的缺失值，然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明，与朴素贝叶斯相比，基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will