搜索资源列表
Naive-Bayes-Text-Classification
- 使用Python实现朴素贝叶斯分类，文件夹中附带数据集。实现了NB算法，并进行5倍交叉验证-Naive Bayes classifier using the Python implementation, the folder with the data set. NB implements the algorithm, and 5-fold cross-validation
bayes
- 数据的正态检验和评估，原始样本贝叶斯分类并计算准确率；仿真生成1000个样本的贝叶斯分类及计算准确率；-Normality test and evaluate data, and calculate the original sample Bayesian classification accuracy simulation generated 1000 samples Bayesian classification and calculation accuracy
bayes
- 贝叶斯分类器，对两组数据实现分类判别，并计算判别的正确率-Bayesian classifier, to achieve the two sets of data classification and discrimination, and to calculate the correct rate of discrimination
PRZy
- 模式识别的大作业，内容为bayes分类算法对于二类协方差不等及对于三类协方差不等的matlab编程，并包含详细注释。-Great job of pattern recognition, says bayes classification algorithm for second-class covariance and the three types of covariance ranging ranging matlab programming, and contains detailed n
PRbianchen
- 老师给的模式识别的编程例子，包括bayes分类算法、支持向量机分类、Parzen窗估计等算法，程序简单明了，是不错的例子。-Pattern Recognition teacher programming examples, including bayes classification algorithm, support vector machine classification, Parzen windows estimation algorithm, the procedure is sim
Bayes
- Byes 分类(特征加权的朴素贝叶斯分类）-Byes classification
Design-of-Bayes-classifier
- 假定某个局部区域细胞识别中正常和非正常两类，先验概率分别为：正常状态和异常状态，现有一系列待观察的细胞，试对观察的结果进行分类。-Suppose a local area cell recognition of normal and non-normal categories, a priori probabilities were: normal and abnormal states, the existing range of cells to be observed, the test
Answer1
- Bayes分类 已知N=9， =3，n=2，C=3,问x= 应属于哪一类？ 三类协方差不相等、不相等-Bayes classification known N = 9, = 3, n = 2, C = 3, x = should ask which category? Three covariance not equal, not equal
PatternRecognition
- (1)Bayes分类 已知N=9， =3，n=2，C=3,问x= 应属于哪一类？ (2)聚类 使用c－均值聚类算法在IRIS数据上进行聚类分析 (3)鉴别分析 在ORL或Yale标准人脸数据库上完成模式识别任务。 用PCA与基于核的PCA（KPCA）方法完成人脸图像的重构与识别试验。-(1) Bayes classification Known N = 9, = 3, n = 2, C = 3, x = should ask which cat
bayes
- 基于朴素贝叶斯的主客观情感分类器，训练集数据集齐全-Objective and subjective feelings based on Bayesian classifier
Bayes-classifier
- 贝叶斯分类器:贝叶斯分类的基础是概率推理，就是在各种条件的存在不确定，仅知其出现概率的情况下，如何完成推理和决策任务。-Bayesian classifier
Bayes
- 朴素贝叶斯分类器，能实现高准确的分类，且速度快-Naive Bayes classifier, can achieve high accuracy of classification and fast
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
TestNaiveBayes
- java开发weka包，实现naive Bayes分类功能-weka java development package to achieve naive Bayes classification
Bayes
- 武汉大学 遥感信息工程学院 2014-2015 第一学期 模式识别 第一次作业 贝叶斯分类 学霸代码-Remote Sensing Information Engineering, Wuhan University 2014-2015 first semester pattern recognition first job Bayesian taxonomy Pa code
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
- 对VOA文档利用贝叶斯分类器来进行分类，并进行正确性测试。-VOA document on the use of Bayesian classifier to classify, and accuracy testing.
bayes
- 一个朴素贝叶斯的程序，用于文本分类，准确率高达90 -a naive bayes algorithm used to classifying text
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