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Description: 利用贝叶斯算法实现的分类器-algorithm using Bayesian classifier
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Size: 27648 |
Author: 王勇 |
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Description: 基于朴素贝叶斯算法实现的中文文本分类程序。可以对中文文本进行分类识别，使用时先对分类器进行训练，然后进行识别。该Beta版本仅支持对3类文本进行分类，使用简单的中文分词方法，本程序尚不具备实用性，用于算法研究和改进。-based on Bayesian algorithms to achieve the Chinese text classification procedure. Can the Chinese text classification identification, the use of the first classifier training, and then the identification. The Beta version only supports three types of text classification, the use of simple Chinese word segmentation, this procedure does not have relevance for the algorithm and improved.
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Size: 317440 |
Author: 钱磊 |
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Description: 朴素贝叶斯分类器，用C++实现的基于朴素贝叶斯算法的分类器-Naive Bayesian classifier, using C++ Realize based on Naive Bayesian Classifier Algorithm
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Size: 24576 |
Author: 张涛 |
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Description: 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
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Size: 1024 |
Author: 张其 |
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Description: ：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 be introduced to the Naive Bayesian Classifier study, a K-means based on the Naive Bayesian classification algorithm. First of all, with K-me. arks algorithm focus on the raw data of the complete data subset of the cluster, the calculation of missing data for each subset of records and the similarity between the cluster center of gravity to the nearest record assigned to a cluster, and the corresponding attributes of the cluster means to fill the missing value record, and then use Naive Bayes classification algorithm to deal with the data set after classification. The experimental results show that compared with the Naive Bayes, K-means based on the thinking of Naive Bayes algorithm has higher classification accuracy.
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Size: 173056 |
Author: 李浩 |
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Description: 朴素贝叶斯算法源码，C++实现。大家可以下来看-Naive Bayes algorithm source code, C++ to achieve.
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Size: 580608 |
Author: 李青青 |
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Description: 朴素贝叶斯算法分类源代码，vc6.0编写-NaiveBayes on how to classfiy texts
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Size: 2265088 |
Author: Lotus |
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Description: 用朴素贝叶斯算法来进行文件分类,未包含训练数据.-Naive Bayes algorithm is used to carry out classification of documents, not included in training data.
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Size: 280576 |
Author: johnson |
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Description: 邮件过滤器,使用了朴素贝叶斯算法，用来过滤垃圾邮件-Email filter：it is used for filter the junk email
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Size: 1156096 |
Author: tiger |
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Description: 一个简单的用控制台程序写的贝叶斯算法 里面有一个data.txt是提供的数据集 data1.txt是对该数据集的一个预测 输出了该预测的匹配度
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Size: 1368 |
Author: wahaha1219 |
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Description: 这个是本人自己写的朴素贝叶斯算法，参考书籍为《机器学习实战》。(This is my own written naive Bayesian algorithm, reference books for the "machine learning combat.")
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Size: 2048 |
Author: GENEe
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Description: 朴素贝叶斯算法分类及回归，附带训练集和测试集，可以评测正确率和输出预测文件(Classification and regression of naive Bayes algorithm, incidental training set and test set can evaluate the correct rate and output prediction file.)
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Size: 4096 |
Author: 风霏霏
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Description: 朴素贝叶斯算法，是十大最经典的数据挖掘算法之一(Naive Bayes algorithm, the most classic data mining algorithm)
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Size: 2048 |
Author: 嗨嗨1202
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Description: 机器学习入门经典算法中的朴素贝叶斯算法，python3.6，编译通过可运行。(Naive Bayes algorithm in machine learning classic algorithm)
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Size: 1024 |
Author: Laineylxious
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Description: 朴素贝叶斯算法和KNN算法比较，其中用到的数据集为adults(Comparison of Bias and KNN algorithms)
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Size: 131072 |
Author: hgwf
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Description: 数据挖掘十大算法之一，朴素贝叶斯算法的实现(One of the ten data mining algorithms and the naive Bayesian algorithm)
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Size: 29696 |
Author: 羽墨best1
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Description: 此处python实现机器学习朴素贝叶斯算法(Here Python implements the naive Bayes algorithm for machine learning)
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Size: 28672 |
Author: didi1 |
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Description: 本报告对 朴素贝叶斯模型及线性判别分析、二次判别分析 进行系统测试
“生成模型”是机器学习中监督学习方法的一类。与“判别模型”学习决
策函数和条件概率不同，生成模型主要学习的是联合概率分布??(??,??)。本
文中，我们从朴素贝叶斯算法入手，分析比较了几种常见的生成模型（包
括线性判别分析和二次判别分析）应用于多因子选股的异同，希望对本领
域的投资者产生有实用意义的参考价值。(This report gives a systematic test of naive Bayesian model, linear discriminant analysis and two discriminant analysis
"Generation model" is a kind of supervised learning method in machine learning. Learning from "discriminant model"
The strategy function and the conditional probability are different. The generation model mainly studies the joint probability distribution. book
In this paper, we analyze and compare several common generation models (packages) from the naive Bayes algorithm.
The linear discriminant analysis and the two discriminant analysis are applied to the similarities and differences of multi factor stock selection.
The investors of the domain have a useful reference value.)
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Size: 1722368 |
Author: 隔壁的头老李 |
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Description: 朴素贝叶斯算法运行和程序代码的实验与结果(Operation of naive Bayes algorithm)
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Size: 414720 |
Author: wluai |
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Description: 朴素贝叶斯算法的相关资料，包含算法以及实验结果等。(The related data of the naive Bayes algorithm.)
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Size: 146432 |
Author: dqhplhzz2008 |
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