搜索资源列表
judger
- 最小错误率和最小风险贝叶斯分类器,附带示例数据-Minimum error rate and minimum risk Bayes classifier, with sample data
ClassifierforUSPSdata
- 用于对USPS数据进行分类的各种分类器,用于对多维采样点进行无监督分类。可根据类别数修改分类器,模式识别作业的部分代码。 -USPS data for the various classification categories, for sampling points on the multi-dimensional non-supervised classification. Can be modified in accordance with several types of class
NaviveBayesClassify
- java代码的朴素贝叶斯分类器 java代码的朴素贝叶斯分类器 调试通过-java code java code Naive Bayes classifier Naive Bayesian classifier Naive Bayesian classification of java code through debugging
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.
bayesfenleiqi
- 模式识别--VISUAL C++环境下编写的贝叶斯分类器(bayes),值得收藏-Pattern Recognition- VISUAL C++ Environment prepared by Bayesian Classifier (bayes), worthy of collection
filter
- 垃圾邮件过滤器,本软件基于朴素贝叶斯算法,用NetBean生成的界面(须JDK1.6),适用于对手机短信,邮箱邮件,日记等一些txt文件进行分类,测试率达90%以上。-Spam filters, the software based on the Naive Bayes algorithm, using NetBeans generated interface (requires JDK1.6), apply to SMS, mail messages, diaries and other do
BayesFileClassify
- 文本分类是在文档所包含的文本基础上, 把给定的文档分配到固定类别集合中某一个类别的任务。这个任务中常常用到朴素贝叶斯模型。-Text classification are contained in the document text, based on the given document category assigned to a fixed set of a certain type of mission. This task is often used Naive Bayes model
mail
- 垃圾邮件过滤器 本软件基于朴素贝叶斯算法,用NetBean生成的界面(须JDK1.6),适用于对手机短信,邮箱邮件,日记等一些txt文件进行分类,测试率达90 以上。-Spam filter software is based on the Naive Bayes algorithm, using NetBeans generated interface [have to JDK1.6], suitable for mobile phone message, mail messages, d
KNNwebpageclassificate
- 实现中文网页分类,使用贝叶斯和KNN算法,基本功能可实现-The achievement of the Chinese web page classification, the use of Bayes and KNN algorithm, the basic functions can be realized
depart
- 包括Bayes分类器、线性分类器、非线性分类器、神经网络分类器等-Including Bayes classifier, a linear classifier, non-linear classifier, such as neural network classifiers
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
NaviveBayesClassify
- 基于朴素贝叶斯文本分类器 可进行简单的文本分类-Based on Naive Bayes text classification can be simple text classification
Bayes_xiugai
- 设计一种BAYSE 分类器完成对IRIS 数据库的分类-Bayes classifier for iris database
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
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
Bayes
- 基于贝叶斯分类法的c++程序大家可以参考一下-Bayesian classification based on the c++ program you can refer to! !
ClassficationBaseOnAssociation
- 贝叶斯分类器的改进 在windows 平台下实现;-Improvement of Bayes classfication It is implement in windows.
ImagePatternRecognition
- 本书介绍图像模式识别的各种算法及其编程实现步骤。全书共分为10章,内容包括:模式识别的基本概念,位图的基础知识,分类器设计,模板匹配分类器,基于概率统计的Bayes分类器,几何分类器,神经网络分类器,图像分割与特征提取,聚类分析,模糊聚类分析,遗传算法聚类分析-Image Pattern Recognition
Bayes_1
- 首先,对CATEGORY中的txt文件分类; 其次,对多个txt文件中的英文文本进行分词; 最后,通过贝叶斯公式进行分类;-First, in the txt file CATEGORY classification Secondly, multiple txt files in English text word Finally, by Bayes formula to be classified
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 efficient features, designed to