搜索资源列表
classificiation-algorithm-overview
- 机器学习领域经典分类算法综述，包括Decision Tree（ＩＤ３、C4.5(C5.0)、CART、PUBLIC、SLIQ和SPRINT算法），三种典型贝叶斯分类器（朴素贝叶斯算法、TAN算法、贝叶斯网络分类器），k-近邻 、 基于数据库技术的分类算法（ MIND算法、GAC-RDB算法），基于关联规则（CBA:Classification Based on Association Rule）的分类（Apriori算法），支持向量机分
616341
- 中文文本语料库 适合中文文本分类使用 朴素贝叶斯算法整合 -Chinese text categorization corpus
NBC
- 非常好的朴素贝叶斯算法，有数据，易懂,适合初学者-good nbc，hava data,easy knowledge
machine-learning
- python3实现各种机器学习算法，包括knn算法，决策树算法，SVM算法，朴素贝叶斯算法等-Python3 realize all kinds of machine learning algorithms, including KNN algorithm, the decision tree algorithm, the SVM algorithm, naive bayesian algorithm, etc
native-bayes-classifier
- 朴素贝叶斯算法的源代码实现，（含训练数据）-to achieve native bayes classifier
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.
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
naivebayes
- 朴素贝叶斯算法 求导致某一结果或现象发生的最可能的条件-Naive Bayes algorithm for the most likely cause of the condition or a result of the phenomenon
bayes
- 机器学习中的朴素贝叶斯算法，利用python实现的算法-The naive Bayesian algorithm in machine learning, using Python to achieve the algorithm
nativeBayes
- 朴素贝叶斯算法的java代码实现与实际例子-native beyes
NaiveBayesian
- 使用Python语言写的经典朴素贝叶斯算法的实现，完全能够应对算法设计课程的课程设计的代码需要-Implemented using Python language written in classic Naive Bayes algorithm, fully able to cope with the algorithm design course curriculum design code requires
Bayes
- 用java语言实现的朴素贝叶斯算法。可以根据输入属性值来判断目标属性的值。-This is the code about Naive Bayes.
TestNaiveBayes
- 采用朴素贝叶斯算法自动处理大量数据，Java语言编写。数据见TXT文件。-Using naive Bayesian algorithm to automatically deal with a large number of data, Java language. See data TXT file.
Naive-Bayes
- Naive Bayes 朴素贝叶斯算法的实现-Naive Bayes
MachineLearning
- 非常好用的基于QT实现机器学习的朴素贝叶斯算法-Very easy to use machine learning based on QT implement Naive Bayes algorithm
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,
Main
- 朴素贝叶斯算法的代码实现，能够实现对数据的自相关，互协方差等统计方面特征的数学分析-Code naive Bayes algorithm implementation can be achieved for autocorrelation of the data, mathematical analysis statistical characteristics of the cross-covariance, etc.
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.