搜索资源列表
gibbs.met_1.1-3.tar
- 马尔可夫链蒙特卡洛算法，由R语言实现，是在Gibbs采样中每步利用Metropolis采样。程序非常清晰，是理解MCMC的好东西-Naive Gibbs Sampling with Metropolis Steps
R-code
- 用R语言实现对affy芯片、cDNA芯片的处理-With the R language for affy chips, cDNA chip processing
Cross-validation
- R语言实现范剑青的缺失数据估计（统计学目前最热研究方向），论文SCI引用超过1千次-R language Jianqing Fan of missing data estimates (statistical currently the hottest research), SCI papers cited more than one thousand times
item-based-recommend
- R语言实现Item-Base的CF算法，下载下来，可以直接在R语言编译环境下运行-Item-Based Collaborative Filtering Algorithm in R language
AHP
- 使用R语言实现的层次分析（AHP）代码，只要数据和判断矩阵即可运行得出所需结果-Using the R language implementation of AHP (AHP) code, as long as you can run data and judgment matrix obtained the desired result
AHP
- R语言实现的一个简单的AHP，层次分析的源码。-The code belonging to the data analysis of R language source code level analysis.
EM_GMM
- 基于EM算法实现的高斯混合模型数据分类，可以很优秀的对各种数据进行聚类分析，R语言实现-EM algorithm based on Gaussian mixture model data classification, can be very good for a variety of data clustering analysis, R language
Metropolis-Hastings
- 使用metropolis-hastings抽样方法，产生平稳马尔科夫链，R语言实现-Using sampling methods metropolis-hastings, produce smooth Markov chain, R language
Mymeans
- k-means（k均值聚类）,使用R语言实现，分类的准确度跟自带的差不多-k-means written by myself
Naive-PLA
- 感知器学习算法。R语言实现版本。自己写的，给大家一个参考-perceptron learning of algorithm
pocket-PLA
- 贪婪感知器算法。R语言实现版本，每次会把最优的分类抓在手上-pocket perceptron learning of algorithm
linear-programming-R
- 用R语言实现单纯形法,来求解AX<=b类的线性规划问题。-R scr ipt realize simplex method
NN-model
- 该程序是用R语言实现贝叶斯网络和神经网络的结合进行预测的模型-The program model is R language network and the combination of Bayesian neural network to predict
bagging
- bagging算法的R语言实现，完整代码，运行速度较快-bagging algorithm R language, the complete code to run faster
FJIR.R
- 模糊聚类分析 - 建立模糊相似矩阵，以R语言实现。-build a fuzzy matrix
统计建模于R
- 基于R语言的建模，结合例子的代码实现，包括假设检验与各种统计量的计算(Based on the R language modeling, combined with the code implementation of the example, including the hypothesis test and the calculation of various statistics)
svm_rfe
- 实现了SVM_RFE算法，进行特征选择并分类(Implementation of the SVM_RFE algorithm, feature selection and classification)
机器学习与R语言（machine_learning）
- 机器学习与R语言（machine_learning）源代码下载，内含R语言实现机器学习算法和应用案例(Machine learning and R language (machine_learning) source code download, containing R language to implement machine learning algorithms and application cases)
zzz
- 能够完整实现R语言的主成分分析的经典实例，希望能有所帮助(Realization of principal component analysis in R language)
R语言实现粗糙集
- 利用R语言实现粗糙集，包括数据和例子，帮助理解各个函数的用途