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bayes
- java实现朴素贝叶斯中文文本分类器。自带分类语料和实验报告。功能完整。-java implement Naive Bayes Chinese text categorization. Own classification corpus and test reports. Full-featured.
Bayes
- Java实现的基于朴素贝叶斯的身高分类，包含训练集文档。代码简单易读。-Java-based implementation of height Naive Bayes classification, including the training set documentation. The code easier to read.
bayes
- 根据文本内容，使用朴素贝叶斯进行文档的分类。-According to the text, using Naive Bayes to classify documents.
NaiveBayes-master
- 对文本信息进行分类，训练和学习，利用朴素贝叶斯算法实现。-Text information on the classification, training and learning, with Naive Bayes algorithm.
pusu
- 朴素贝叶斯法是基于贝叶斯定理与特征条件独立假设的分类方法-Naive Bayesian method is a method of Bayesian classification and characteristics of conditional independence assumptions based
DataMining
- 分类算法的java实现，包括KNN算法，朴素贝叶斯算法等-Classification algorithm to achieve by java, including KNN algorithm, Naive Bayes algorithm
main
- 通过KNN和朴素贝叶斯算法 实现 模式识别中的分类-Achieve pattern recognition is classified by KNN and Naive Bayes algorithm
InfoRetri
- 基于朴素贝叶斯的文本分类，包含去停用词，分词，特征提取，分类等-Text classification, based libsvm, included to stop words, segmentation, feature extraction and classification
ChinesesClasscify
- 本程序是Java实现的，可以实现新闻标题分类、网络爬虫，使用的算法是朴素贝叶斯-classify the News and crawl
NaveBase
- 基于朴素贝叶斯的文本分类java源代码，实现基础的文本分类功能-Naive Bayes text classification based on java source code, text-based classification
NBC
- 朴素贝叶斯机器学习，用来分类文本，matlab编程，有测试和训练两部分。-Naive Bayesian machine learning to classify text, matlab programming, testing, and training has two parts.
textclassify.tar
- 简单的文本分类，用python实现了朴素贝叶斯和SVM-Simple text classification, realized with python Naive Bayes and SVM
python-code-for-Machine-learning
- 用于机器学习的全方位python代码，包括K-近邻算法、决策树、朴素贝叶斯、Logistic 回归 、支持向量机、利用 AdaBoost 元算法提高分类性能、预测数值型数据：回归、树回归、利用 K-均值聚类算法对未标注数据分组、使用 Apriori 算法进行关联分析、使用 FP-growth 算法来高效分析频繁项集、利用 PCA 来简化数据、利用 SVD 简化数据、大数据与 MapReduce-The full range of python code for machine learning
CLASSIFICATION-with-newsgroup
- 多文本分类，KNN和朴素贝叶斯算法，英文文本，-Text categorization, KNN and naive bayes algorithm, the English text,
SVM-and-NB
- 支持向量机与朴素贝叶斯算法，对数据进行分类后深度了解数据的结构-Support vector machine and naive Bayes algorithm.Classifying the data and understanding the structure of the data in depth
knn_logistic_naiveBayes
- 统计机器学习经典分类算法MATLAB代码，付数据集。包括knn算法，逻辑斯蒂回归和朴素贝叶斯算法。-Classical statistical machine learning classification algorithm MATLAB code, pay dataset. Including knn algorithm, logistic regression and naive Bayes algorithm.
Naive-Bayes
- 朴素贝叶斯的matlab代码，概率分类模型。-MATLAB code for Naive Bayes model, a probability classification algorithm.
mechine-learning
- 本书第一部分主要介绍机器学习基础，以及如何利用算法进行分类，并逐步介绍了多种经典的监督学习算法，如k近邻算法、朴素贝叶斯算法、Logistic回归算法、支持向量机、AdaBoost集成方法、基于树的回归算法和分类回归树（CART）算法等。第三部分则重点介绍无监督学习及其一些主要算法：k均值聚类算法、Apriori算法、FP-Growth算法。第四部分介绍了机器学习算法的一些附属工具。 全书通过精心编排的实例，切入日常工作任务，摒弃学术化语言，利用高效的可复用Python代码来阐释如何处理统
text classfication
- 朴素贝叶斯文本分类的简单案例，了解朴素贝叶斯的算法实现过程(Naive Bayes text classification of simple cases, to understand the naive Bayes algorithm implementation process)
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)