搜索资源列表
bayesvc1
- 用贝叶斯算法进行文本分类，在C++环境下编写。-Bayesian text classification algorithm, in C++ environment prepared.
Text-Classification-CPP
- 利用贝叶斯算法进行文本分类，用VC++实现的源代码 -Bayesian text classification algorithm, implemented using VC++ source code
TextCat
- 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.
minipro
- 该系统功能：实现手写识别，能通过对样例库中的数据进行学习，然后能判别、分类新的输入样例。其中包含了Kn近邻算法，贝叶斯参数估计的实现。实现了open test, close test等测试方法。-The system features: realization of handwriting recognition, through the library of sample data for study, and then to identify, classify the new input
11912873naivebayesclassificationbasedongenetic
- 贝叶斯网络分类器的一点小程序，也许有用，请各位资源下载-Bayesian Network Classifier for small procedures, may be useful, please download resources
BayesNetWorkMSBNx
- 数据挖掘中贝叶斯信念网络的软件，可进行描述与分类。-Data Mining of Bayesian belief networks in software, can be described and classified.
KNNwebpageclassificate
- 实现中文网页分类，使用贝叶斯和KNN算法，基本功能可实现-The achievement of the Chinese web page classification, the use of Bayes and KNN algorithm, the basic functions can be realized
bayesian1
- 用贝叶斯算法解决数据挖掘中分类问题，先用训练集进行训练，再用测试集进行测试-Bayesian data mining algorithm to solve classification problems in the first training set used for training, re-use test set for testing
Bayes_Classify
- 基于贝叶斯最小错误率算法的崇明岛遥感图像分类程序。并且有饼状图显示各类地物比例-Minimum error rate based on Bayesian algorithm for Chongming Island, the remote sensing image classification procedures. And the pie chart below shows the proportion of various types of features
tztqjsydm
- 贝叶斯公式,文本分类,中文分词,VC++开发,方便实用和开发-beyes,text classify
NaiveBayes
- 朴素贝叶斯算法分类源代码，vc6.0编写-NaiveBayes on how to classfiy texts
Pattern_recognition4
- 张学工老师模式识别第四次作业，分别用C均值方法，分层聚类方法和非监督参数下正态分布函数估计的贝叶斯决策对身高体重二维数据进行分类。-Zhang engineering teacher fourth pattern recognition operations, respectively C-means, hierarchical clustering methods, and non-normal distribution function under the supervision of th
beiyesi2
- 最小风险贝叶斯器对学生成绩进行分类。包含随机生成学生成绩-Bayesian minimum risk classification connector on student achievement. Contains randomly generated student achievement
模式识别第二次作业
- 基于贝叶斯原理，通过体重身高数据进行性别分类(Based on Bayes principle, sex classification is carried out by body weight and height data)
Sciprts
- 用 dataset3 作为训练数据，用 dataset4 作为测试数据，采用不同的特征、训练样本数、分类方法进行比较实验，观察、分析实验结果的异同。 训练分类器的方法为最小错误率贝叶斯分类器（假设正态分布，先验概率各 50%）。使用Bayesscr ipt.m运行代码。(Using dataset3 as training data, dataset4 is used as test data, and different characteristics, training samples an
新建 360压缩 ZIP 文件
- 编写两类正态分布模式的贝叶斯分类程序 了解正态分布模式的贝叶斯分类判别函数(IRIS simulation of Bias pattern recognition)
naive_bayes-master
- 贝叶斯分类 iris 用python语言(linear python bays iris)
naivebayes
- 朴素贝叶斯分类算法的代码，可实现多案例使用(The code of the simple Bias classification algorithm can be used for multiple cases)
nb
- 朴素贝叶斯分类分为两步： ① 计算特征项和所属类别之间的概率; ② 判断文本dj是否属于类别ci的概率 本代码为训练阶段(Naive Bayes classification is divided into two steps: 1 Calculate the probability between the feature item and its own category; 2 The probability of judging whether the text dj belong
bayes
- 贝叶斯算法预先对训练集训练分类，输入测试集进行判断类别。(The Bias algorithm trains the training set in advance, classifying it into the test set and classifying it.)