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violinplot
- 这是关于机器学习中的代码，通过绘制violinplot图来观察数据的分布变化等-It s about machine learning code, distribution changes by drawing violinplot plans to observational data, etc.
GMMPEM
- 代码给出了高斯分布下的EM算法的设计与实现-Code gives the design and implementation of a Gaussian distribution under the EM algorithm
1
- 运用R语言进行经验分布函数构造并画图分析经验分布函数-R languages using the empirical distribution function construction and analysis of the empirical distribution function draw
EM
- 对于混合高斯分布的情况，使用最大期望算法，通过不断计算每个样本的均值与方差，使得似然函数达到最大值。可以很好地处理满足一定概率分布的数据。 代码中通过mvnrnd()函数，设定其中的参数，产生符合混合高斯分布的一组数据集。-For the case of a mixed Gaussian distribution, using expectation-maximization algorithm, through continuous calculation of the mean and
Data-partitioning
- 在海量数据处理中可以用到，对大量数据的预处理，可以知道数据分布情况，并进行归类。 -In the mass data processing can be used for a large number of pre-processing of data, we can know the distribution of data, and collation.
abc-cuckosearch
- An Efficient Hybrid Clustering Method Using an Artificial Bee Colony Algorithm and Mantegna Levy Distribution Artificial bee colony (ABC) and Cuckko search(CS) and Mantegna levy distribution
DBNtoolbox-master
- 深度学习DBN（深信度网络）代码，概率生成模型，与传统的判别模型的神经网络相对，生成模型是建立一个观察数据和标签之间的联合分布。-Deep learning DBN (Convinced of the network) code generation probability model, and neural network models of traditional discrimination relatively generated model is to establish a join
code_BPMF
- 如何使它工作： 1。创建一个单独的目录，并将所有这些文件下载到相同的目录中 2。下载7个文件： *demo:主文件demo:PMF和贝叶斯PMF * PMF.m:训练的PMF模型 * bayespmf.m贝叶斯PMF模型实现吉布斯采样器。 * moviedata.mat样本数据包含三元组（user_id，movie_id，评分） * makematrix.m：辅助功能转换成大型矩阵的三元组。 * PRED.m:辅助功能使得预测验证集。 三.在Matlab只需运
parzen
- 本代码应用非参数估计法对一簇未知分布的数据进行分布函数估计- The code in the application of non parametric estimation method for estimation of the distribution function of a cluster of unknown distribution data The code in the application of non parametric
空间回归
- 检验数据在空间上分布是否具有规律性，并建立空间回归模型(The spatial distribution of the test data is regular, and the spatial regression model is established)
重抽样与自助法
- 当数据抽样于非正态分布时，如未知或混合分布、样本量过小、存在离群点、基于理论分布设计合适的统计检验过于复杂且数学上难以处理等情况，这时基于随机化和重抽样的统计方法可派上用场。(When the sampling data in non normal distribution, such as the unknown or mixed distribution, the sample size is too small, there are outliers, based on the theor
EM 算法
- 用EM算法求解高斯混合模型并可视化，数据是男女生的身高分布，前提是初始化男女生身高各自的均值和方差和比例，然后由EM算法求解，男女生身高的均值方差，以拟合数据。(The EM algorithm is used to solve the Gauss mixture model and visualize. The data is the height distribution of male and female. The premise is to initialize the mean, v
LDA_ FDA_with_tutorial
- LDA降维是常用的降维手段之一，是常用的有监督学习降维工具。这个文件对其产生W后的使用进行了简要说明，使用W进行最终的降维可以得到十分漂亮的分析结果（在数据分布符合假设分析的情况下。）(LDA dimension reduction is one of the commonly used dimensionality reduction methods. It is a commonly used supervised learning dimensionality reduction tool
python疫情数据可视化
- 通过时事数据可视化系统，可以清楚地了解全球疫情分布的状况以及密度，以便做出相应的对策(Through the current affairs data visualization system, it is possible to clearly understand the distribution and density of the global epidemic in order to make corresponding countermeasures)