搜索资源列表
Naive_Bayes
- 朴素贝叶斯算法,linux下C++实现,只实现核心算法,注释详细,适合初学者-Naive Bayes algorithm, under linux C++ implementation, only to realize the core algorithm, detailed notes for beginners
naive-Bayes
- 基于朴素贝叶斯分类算法的C++实现,VS2005环境-Based on Bayesian classification algorithm C++ realize, VS2005 environment
Naive-Bayes
- 基本的朴素贝叶斯算法,使用python编写。执行效率一般。-The basic Bayesian algorithms, written using python. Efficiency in general.
NaiveBayes
- 朴素贝叶斯算法的java实现,内含输入输出和测试用例-NaiveBayes algorithm implenmented by java,including input and output coad as well as test cases
DataMining
- 酒数据挖掘,朴素贝叶斯分类器,把酒分成3类-Wine data mining, naive Bayes classifier, the wine is divided into three categories
BayesianClasser
- 贝叶斯分类器Matlab实现 机器学习算法,用于分类的朴素贝叶斯分类器,Navie Bayesian Classifier 。-Bayesian classifier Matlab achieve machine learning algorithms for classification Naive Bayes classifier, Navie Bayesian Classifier.
NB
- 朴素贝叶斯分类器,Data为总数据矩阵,Train_Dat为训练样本,Test_Dat为测试样本,用来实现对测试样本进行分类~可以从UCI下载数据调用使用~-Naive Bayes classifier, Data for the total data matrix, Train_Dat of training samples, Test_Dat test sample, the test samples were used to achieve the classification of ~
NaiveBayes
- MATLAB编写的朴素贝叶斯算法,注释十分详尽,使用起来很方便。同时加入了Laplace平滑。-Bayesian algorithms written in MATLAB, very detailed notes, very easy to use. While adding the Laplace smooth.
naive-bayesian-classifier
- 朴素贝叶斯分类,可以添加到自己的工程中,记得稍加修改-nbc classifier
bayes
- 朴素贝叶斯分类算法:其中,朴素的意思是该分类算法基于的两个简单的假设,特征独立以及每个特征同等重要。 贝叶斯分类是基于贝叶斯准则的分类算法。朴素贝叶斯常用于文档分类,过滤垃圾邮件等。 -Naive Bayesian classification algorithm: where is the plain meaning of the classification algorithm based on two simple assumptions, features independent
DataMiningClassify
- 数据挖掘分类算法,依次执行数据预处理、朴素贝叶斯分类、KNN分类-classify algorithm for data mining.It contains data preprocess、Bayes classification and KNN classification.
Naivebayes-classification
- 简单朴素贝叶斯 分类器,针对数值型和名称型属性的分类基本算法。-Simple bayesian classifier, in view of the numeric type and name attributes the classification of the basic algorithm.NaiveBayesSimple.java * Copyright (C) 1999 University of Waikato, Hamilton, New Zealand
NB_for_text_classification
- 文本分类:朴素贝叶斯分类器例子,采用Multi-Variate Bernoulli Event Model。一个文件为训练,一个文件为测试,采用20newsgroups数据集。-Text classification: Naive Bayes classifier example, the use of Multi-Variate Bernoulli Event Model. A file for training, a file for testing, using 20newsgroups
bayes
- 贝叶斯分类算法是统计学的一种分类方法,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.- Bayesian classification algorithm is a statistical classification method, which is a kind of knowledge to classify the use of probabilistic algorithms.
bayes
- 用Python写的,基于概率论的分类方法,朴素贝叶斯分类器-Written in Python, based on probability theory classification, naive Bayes classifier
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
Naive-Bayes
- 如何运用朴素贝叶斯的公式对两类特征进行分类-How to use simple bayesian formula characteristics of two kinds of classification
naive-bayes-spam-filter-master
- 基于朴素贝叶斯分类器写的垃圾邮件过滤系统-machine learning bayes
ml-py
- 机器学习算法(kNN、逻辑回归、线性回归、朴素贝叶斯)python实现。-machine learning by python
Bayes
- 贝叶斯分类算法是统计学的一种分类方法,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,而且方法简单、分类准确率高、速度快。-Bayesian classification algorithm is a statistical classification method, which is a kind of knowledge to classify the use