搜索资源列表
ByesJava
- 贝叶斯算法的java实现,注释详细，调理清晰,是学习研究数据挖掘分类算法的好依据.-Bayesian algorithm java implementation, comments, detailed, clear conditioning, is to learn to research a good basis for data mining classification algorithms.
Release
- 多种分类模式的文本分类器，支持SVM，KNN,贝叶斯等-svm，knn classification
Email-Classification
- 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。-The Research of Email Classification
Chinese-text-based-on-Naive-Bayes-
- 一种基于情感词典和朴素贝叶斯的中文文本情感分类方法-Feelings of the Chinese text based on emotional dictionaries and Naive Bayes classification
Complete-Training-of-TC
- 用贝叶斯模型实现文本分类,；里面包含分词，词频统计，去除停用词等模块，目前完成的是分类的训练阶段。-realize text categorization by using the NaiveBayes Model
Bbayesiann1a
- 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 algorithm to solve the classification problem in data mining, training, first use the training set, and then the test set to test
Bayesian-based-classifier-design
- 基于贝叶斯的分类器设计.用“cancer.mat”的数据作为训练样本集，建立Bayes分类器，用测试样本数据对该分类器进行测试，从而加深对所学内容的理解和感性认识。-Based on the Bayes classifier. ' Cancer.mat data as the training sample set, the establishment of the Bayes classifier, the classifier is tested with the test sampl
NBC
- 实现朴素贝叶斯的分类，很好用的，利用matlab编写，不错的程序-Naive Bayes classification, well used, the use of Matlab prepared, a good program
based_on_bayes_decsion_theory
- 基于贝叶斯决策理论的最小错误率和最小风险分类器设计。-Minimum error rate and minimum risk classification based on Bayesian decision theory.
Bbeyessa
- 详细介绍了贝叶斯公式在自动文本分类领域的使用，并且提到了关于于互信息特征提取的方法。和其分类的例子。，已通过测试。 -Described in detail the use of the Bayesian formula in the field of automatic text classification, and mentioned on the mutual information feature extraction method. And the classification
Bayesian
- 关于贝叶斯网络分类的相关PDF资料，和机器学习的书籍-Bayesian net classification
Bbayyes11111a
- Bayes分类器设计，对模式识别有一个初步的理解，能够根据据自己的设计对贝叶斯决策理论算法有一个深刻地认识 已通过测试。 -Bayes classifier design, a preliminary understanding of pattern recognition, and a profound understanding that has been tested according to according to their own design on Bayesian deci
matlab111
- 用来实现模式识别中的贝叶斯准则和fishier分类器，可以进行聚类分析-To pattern recognition, Bayesian criteria and fishier classification, cluster analysis can be carried out
openpr-ldf_v0.10
- 基于朴素贝叶斯算法的分类器，代码清晰易懂-Naive Bayes classifier algorithm, code lucid
algorithms
- 分类算法是统计学分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美，该算法能运用到大型数据库中，且方法简单、分类准确率高、速度快。-The classification algorithm is the statistical classification, it is a knowledge of probability and statistics classification alg
Btztqjsyddma
- 贝叶斯公式,文本分类,中文分词,Viisual C++开发,方便实用和开发 -Bayesian formula, text categorization, the Chinese word, Viisual C++ development, convenient and practical, and development
B11912873naiva
- 贝叶斯网络分类器的一点小程序，也也许有用，请各位资源下载可直接使用。 -Bayesian network classifier little program, also may be useful, please Download can be used directly.
classification
- 一些典型的模式分类及聚类方法 包括k均值 FDA PCA LMS 贝叶斯 K近邻-The typical pattern classification and clustering methods including k-means FDA PCA LMS Bayesian K-nearest neighbor
PR-myassignment
- 模式识别的分类函数，包括PCA，风险贝叶斯，最小误差贝叶斯，parzen窗函数等等。-Pattern recognition classification functions, including PCA, risk Bayesian minimum error the Bayesian, parzen window function, and so on.
pusu_nb_w
- 带有权重的朴素贝叶斯的分类器，只对离散型数据有效。-With the right to re-Naive Bayes classifier is valid only for discrete data.