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bow-latest.tar
- 贝叶斯学习算法分类文本。基于朴素贝叶斯分类器的文本分类的通用算法，是目前所知文本分类算法中最有效的一类-Bayesian text classification algorithm. Based on Bayesian classifier of the common text classification algorithm, which is known text classification algorithm the most effective one category
naivebaysianclassify
- C语言的朴素贝叶斯分类器代码，是标准C编写的，希望对大家有帮助-C language Naive Bayesian classifier code, prepared by the C standard, and I hope to be helpful
BayesClassier
- 贝叶斯分类器，bayesian classifier,贝叶斯分类器，bayesian classifier-Bayesian classifier, bayesian classifier, Bayesian classifier, bayesian classifier
Di
- 贝叶斯bayes算法分类器诊断程序-Bayesian classifier diagnostic procedures
bayesian
- 贝叶斯分类器设计，基于VC编写的，非常好
bayes-code
- 贝叶斯分类器归纳的源程序和可执行代码, 包括多个文件。
BayesianClassifier1
- 一个基于正态分布 的贝叶斯最小错误率的分类器
Digit-recognizer---knn-a-svm
- matlab中分别使用knn（k近邻）与svm（支持向量机）实现的对手写数字识别的二分类器-Digit recognizer(KNN and SVM) developed in matlab
ada_boostnew
- ada_boost分类器程序，根据ada_boost算法编写的分类程序，具有较好的鲁棒性-ada_boost algorithm
bayes-
- 贝叶斯分类器VC源代码（内附说明）-Bayesian classifier VC source code (with explanation)
Bayes
- 朴素的贝叶斯分类器，原理很简单，性能还不错-Naive Bayesian classifier, the principle is very simple, good performance
iris_bayes
- 贝叶斯分类器，程序可以有效运行，大家可以-Bayesian classifier, the program can effectively run, we can see
bayesianclassifier
- 贝叶斯朴素分类，“贝叶斯分类器.doc”包含方法原理及实现效果，及matlab实现代码-Bayesian plain classification
fisher
- fisher分类器 算法效果好，便于编码,推荐使用-Fisher classification algorithm, ease of coding is recommended to use
Bayes_Classification
- 该代码是一个bayes分类器，实现了基本的bayes分类算法-this code is a bayes classifier, to achieve the basic bayes classification algorithm
src
- LinearClassifier,线性分类器进行分类，通过制作一个基于特征的线性组合的价值分类决策。对象的特征也被称为特征值，通常是一个向量提出的机器称为一个特征向量。-LinearClassifier, linear classifier for classification, through the production of a feature-based value of a linear combination of classification decisions. Characte
bayes_classifier
- 普通的贝叶斯分类器，可用于图像分割等，内注释比较详细，适合初学者-bayes classifer
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
RANSIC1
- ransac分类器，应用于二维点，自带检测算法(RANSAC classifier, applied to two-dimensional points, comes with detection algorithms)
Classifiers
- 我们需要成百上千的分类器来解决现实世界的分类吗 我们评估179分类17种分类器（判别分析，贝叶斯，神经网络，支持向量机，决策树，基于规则的分类器，升压、装袋、堆放、随机森林和其他合奏，广义线性模型，线性，偏最小二乘法和主成分回归，logistic回归、多项式回归、多元自适应回归样条等方法），实现在WEKA，R（有或没有插入包），C和Matlab，包括所有目前可用的相关分类。(Do-we-Need-Hundreds-of-Classifiers-to-Solve-Real-World-Class