搜索资源列表
Ch04
- 概率论的分类方法。实例：使用朴素贝叶斯分类器从个人广告中获取区域倾向-Classifying with probability theory: naï ve Bayes
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.
NativeBayes
- Hadoop文本分类算法研究，实现了hadoop集群来对文本进行分类，其中主要算法为朴素贝叶斯分类算法。-Hadoop text classification algorithm to achieve a Hadoop cluster for text classification, feature extraction, weight calculation
Job1
- 这是一个实现文本分类的朴素贝叶斯方法，用java语言编写-This is a realization of Naive Bayesian text classification methods, written in java language
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
bayes
- 基于朴素贝叶斯预测的一个小例子（根据ppt里的例子），将就着看，内有bayes的讲解ppt -开发环境vs2012，c-Based on a small example of Naive Bayesian prediction (based on ppt in the example), will the see, there are explanations bayes ppt - development environment vs2012
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
NBC
- 迁移朴素贝叶斯分类器算法实现，可用于高光谱遥感图像处理-Migration naive Bayes classifier algorithm can be used for hyperspectral remote sensing image processing
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
eMailSystem
- 采用有监督的朴素贝叶斯、SVM和KNN算法对进行训练，实现对邮件的分类-Using supervised naive bayes, SVM and KNN algorithm for training, implementation of the classification of the mail
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
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
python-chengxu
- 关于python写的朴素贝叶斯分类，写的非常不错-Written python on Bayesian classifier This procedure is very good
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
bayes_examp
- 朴素贝叶斯分类算法是机器学习中十分经典而且应用十分广泛的算法，下面将逐步学习和说明。-Naive Bayes classifier machine learning algorithm is very classic and very broad application of the algorithm, the following will gradually learn and descr iption.