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track
- 该程序是我多年的经验总结以及代码，实现了全景目标跟踪、火焰识别、烟雾识别、起立坐下行为判断、越界闯入、徘徊、违规停车等多种智能功能一体化，粒子滤波、贝叶斯分类器、随机森林等多种在线学习机制，还有传统的camshift、meanshift、光流法、卡尔曼滤波、struck、KCF、TLD、CT、区域匹配，相位相关、轮廓跟踪等多种算法-The program is my many years of experience and code, the realization of the panora
NaiveBayes
- python实现的朴素贝叶斯分类器，以及垃圾邮件分类的一个应用，包括处理的数据- python implement Naive Bayes classifier, and an application spam classifications, including data processing
22222
- 模式识别中的贝叶斯分类器算法的实现及结果展示。-pattern recognition
USPS_readwrite
- 手写数字识别 神经网络BP算法 贝叶斯分类，欧式距离算法-USPS readwrite pattern recognition
code
- matlab代码实现对样品的贝叶斯分类和马氏距离分类。-Matlab code to achieve the classification of the samples of the Bias classification and the classification of the Markov distance.
tuxiangbeiyesi
- 利用最小错分概率贝叶斯分类器进行图像分类的基本方法，将模式识别方法与图像处理技术相结合-The basic method of image classification using the minimum error probability Bias classifier, the pattern recognition method and image processing technology
tuxiangfengebeiyesi
- 将模式识别方法与图像处理技术相结合，利用最小错分概率贝叶斯分类器进行图像分类-The pattern recognition method and image processing technology are combined, using the minimum error probability Bias classifier for image classification
m1
- 实现贝叶斯分类器，按最大概率和最小风险的分类决策-Implement Bayesian classifier, according to the maximum and minimum risk probability of classification decisions
123
- 生成两个均包含 N=1000个两维矢量的数据集合 和 ，数据集合中的矢量来自于三个类别模型，假设类别的先验概率由矢量 实现 给出 1. 分别画出两个数据集合。 2. 在两个数据集合上分别应用贝叶斯分类器和欧氏距离分类器。 3. 对每个数据集合每种分类器计算分类错误率-Generates two data sets contains N = 1000 and the two-dimensional vector, the vector data set three
scala-shell-code_09.scala
- 基于spark做的文本分类，有分词、提取TFIFDF关键词特征，贝叶斯分类次，word2vector-Make text classification based spark, partakers word feature extraction TFIFDF keyword, Bayesian classification times, word2vector
BYS
- 该文件为Matlab上实现的贝叶斯分类算法，包含源码（含注释）、数据和运行结果。实例数据为UCI上下载的Iris数据包。-Bayesian classification algorithm developed in the Matlab,which contains the source code (including comments) and data(Iris Loaded the UCI), and operating results.
bayes100
- 贝叶斯分类算法源代码，用于对文本文件进行分类-Bayesian classification algorithm source code, used to classify a text file
11
- 自己编写的贝叶斯分类器，虽然结果不好但可以参考修改。-I have written Bayesian classifier, although the result is not good but you can modify the reference.
MachLearn_ml
- MachLearn:已经实现了朴素贝叶斯分类器、决策树、支持向量机算法。在Linux上可成功编译-MachLearn: has achieved a naive Bayes classifier, decision trees, support vector machine algorithm. Successfully compile on Linux
Bias-Classifier
- 用java写的贝叶斯分类器，我之前做数据挖掘课程大作业的时候写的，数据的格式见文件中的txt文件，一个train数据，一个test数据。-Bias classifier
classify
- 用大数据来训练一个朴素贝叶斯分类器，并且在分类器中加入α=1的拉普拉斯平滑。-Use the data given in table to train a naive Bayes classifier and test it.Add Laplace smoothing into the classifier with α=1,and test angin.
pusubei
- 朴素贝叶斯分类算法。可以成功实现。简单易懂-Naive Bayesian classification algorithm. Can successfully
moshishibie
- 基于matlab的模式识别基础实例源代码，包括贝叶斯分类器，Fisher线性判别，主成分分析，k均值聚类等。-Based on pattern recognition based matlab examples of source code, including Bayesian classifier, Fisher linear discriminant analysis, principal component analysis, k-means clustering.
Desktop
- 贝叶斯分类器的分类原理是通过某对象的先验概率，利用贝叶斯公式计算出其后验概率，即该对象属于某一类的概率，选择具有最大后验概率的类作为该对象所属的类-Bayesian classifier classification principle is a priori probability of an object by using the Bayesian formula to calculate the probability of subsequent experience, that is,
DM_BayesAndKNN
- C++实现数据挖掘的贝叶斯分类方法和k-近邻分类方法，有源码，有示例数据，有说明文档-C++ implementation of data mining methods and Bayesian classification k- nearest neighbor classification method, there is source code, sample data, documentation