搜索资源列表
EM-Algorithm.zip
- 最大期望值算法以及在混合高斯模型的应用的详细介绍,Expectations algorithm and the largest mixed-Gaussian model in the details of the application
work
- 高斯核函数,矩阵自身的高斯核函数计算,需要指定参数-Gaussian kernel function, matrix itself Gaussian kernel function, the need to specify the parameters
gpml-matlab-v3.1-2010-09-27
- 高斯过程算法在回归和分类中的应用程序。与书本《基于高斯过程的机器学习》配套。本程序是最新的v3.1版,更新于2010-09-27-Gaussian process regression and classification algorithm in the application. And the book " machine learning based on Gaussian process" support. This program is the latest v3.1
prtools
- 一个强大的统计模式识别工具箱,包含高斯分类器,高斯混合模型,主成分分析,支持向量机等常见分类方法。-A powerful statistical pattern recognition toolbox, including the Gaussian classifier, Gaussian mixture model, principal component analysis, support vector machines and other common classification met
code
- 本贝叶斯分类器可以实现对二维高斯分布样本的分类-The Bayesian classifier can achieve two-dimensional Gaussian distribution of the classification of samples
K-meansNB
- :将K—means算法引入到朴素贝叶斯分类研究中,提出一种基于K—means的朴素贝叶斯分类算法。首先用K— me.arks算法对原始数据集中的完整数据子集进行聚类,计算缺失数据子集中的每条记录与 个簇重心之间的相似度,把记 录赋给距离最近的一个簇,并用该簇相应的属性均值来填充记录的缺失值,然后用朴素贝叶斯分类算法对处理后的数据 集进行分类。实验结果表明,与朴素贝叶斯相比,基于K—means思想的朴素贝叶斯算法具有较高的分类准确率。-: K-means algorithm will
gaussian_mixture_model
- 基于高斯混合分布的假设,利用EM算法对数据进行分类-classification based on the Gaussian Mixtrue Models using EM algorithms
n
- 用于高光谱遥感图像分类的空间约束高斯过程方法-For high-spectral remote sensing image classification method of spatial constraints Gaussian process
Ionosphere_LR
- 电离层的贝叶斯分类器,使用matlab编程开发,具有正确率高的优点-Ionosphere Bayesian classifier, using the matlab program development, the advantages with the correct rate
GMM_background_src
- 基于有限混合高斯模型的数据分类 1、使用基于有限高斯混合模型的EM算法对数据样本进行归类 2、使用C++或者Matlab语言编程环境实现该算法,并用给定的数据包对算法的正确性进行检验 -Gaussian mixture model based on limited data classification 1, using the finite Gaussian mixture model based on EM algorithm to classify the data sam
mixtureBNT
- 上传-混合高斯贝叶斯网络分类器,有数据可以直接运行,互相交流,互相学习。-Upload- Gaussian mixture Bayesian network classifier, the data can be directly run, exchange, learn from each other.
IEEEtransactions_on-pattern-analysis
- 基于高斯过程的贝叶斯分类,详细介绍了高斯过程-Bayesian Classification With Gaussian Processes
gpml-matlab-v3.1-2010-09-27.tar
- 这是一个高斯分类算法的程序,有多种多元分类算法。-This is a gaussian classification algorithm of the program, a variety of multi-classification algorithm.
gaussian
- 高斯过程,用于高斯回归以及高斯分类,很好的源代码-gaussian pocess
Baysian+Gaussian
- 用matlab实现输入数据的两分类,里面有三个文件,其中两个是被调用函数(Two categories of input data implemented by MATLAB)
DataLine
- 基于高斯概率模型的分类,这是一个10分类的情况,基于minist数据(pattern classification)
GPstuff-4.7
- 高斯过程回归工具箱,其中包括高斯过程回归的基础例程,可用于分类,估计和预测(Gauss process regression toolbox, which includes the basic routines of Gauss process regression, can be used for classification, estimation and prediction)
SVM
- 采用SVM高斯核,对样本进行分类,输入训练集和测试集,输出SVM分类准确率,采用10折交叉验证(This matlab code uses the SVM(support Vector Machine)to classify, and as the same time it uses the cross validation mathod.)
fisher
- fisher两类线性分类器demo,二维高斯随机数为测试数据(A demo about Fisher linear classifier(Two class))
gaussianprocess4Clas
- 用高斯过程的实现分类和回归的Matlab代码(Matlab code for implementing four classification and regression using Gauss process)