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使用Iris数据集,朴素贝叶斯分类算法。,The use of Iris data set, Naive Bayes classification algorithm.
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贝叶斯分类算法,构造朴素贝叶斯分类器,对给定的中文文本进行分类,Bayesian classification algorithm, Naive Bayes classifier structure of a given Chinese text classification
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朴素贝叶斯分类算法,可以用来进行分类bayes
-Naive Bayesian classification algorithm can be used to classify the Bayes
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Naive Bayes classification algorithm
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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
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: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
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:朴素贝叶斯分类器是一种简单而高效的分类器,但是它的属性独立性假设使其无法表示现实世界属性之间的依赖关
系,以及它的被动学习策略,影响了它的分类性能。本文从不同的角度出发,讨论并分析了三种改进朴素贝叶斯分类
性能的方法。为进一步的研究打下坚实的基础。-: Naive Bayesian classifier is a simple and efficient classifier, but its attribute independence assumption that the rea
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朴素的贝叶斯网络是数据挖掘中的一项重要技术,本源码使用朴素的贝叶斯网络实现数据的分类-data classification by Naive Bayes
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This paper presents the top 10 data mining algorithms identified by the IEEE
International Conference on Data Mining (ICDM) in December 2006: C4.5, k-Means, SVM,
Apriori, EM, PageRank, AdaBoost, kNN, Naive Bayes, and CART. These top 10 algorithms
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This naive bayes classification of documents-This is naive bayes classification of documents
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人工智能。基于朴素贝叶斯的文本分类器,测试正确率较高。-Artificial intelligence. Naive Bayes text classification based on, test accuracy is higher.
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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
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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
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naive bayes classification
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分类算法,包括KNN,SVM,Linear Regression, Naive Bayes四种-four algorithms of classification, includes KNN, SVM, Linear Regression, Naive Bayes
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基于matlab的Naive Bayes分类,分为train,test和run-Matlab-based Naive Bayes classification, divided into train, test and run
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Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy-Classification algorithm using Naive Bayes. Written for News Group data set. 99 accuracy!!!
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利用Python实现朴素贝叶斯分类方法。实现程序具有普适性,同时附带测试数据。可以直接运行。-Python implementations utilizing Naive Bayes classification. Achieve universal program has also included with the test data. It can be run directly.
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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.
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调用于sklearn平台的朴素贝叶斯算法,有着较好的分类能力(The naive bayes algorithm for sklearn platform is a good classification capability.)
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