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sbgcop_0.95.tar
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
sbgcop_0.95
- sbgcop: Semiparametric Bayesian Gaussian copula estimation This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric i
dineof.tar
- DINEOF重构数据矩阵缺失点的值-Reconstruction of missing data matrix DINEOF point value ~ ~ ~
ive_sas_windows
- 缺失数据的利器，SAS插件ive，和solas各有所长。-Missing data tool, SAS plug-ive, and SOLAS have their own strong points.
ive_sas_examples
- SAS中的缺失数据填补插件iveware使用的examples。 -SAS to fill in missing data iveware use plug-examples.
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
AutomaticSpectra
- This toolbox is Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, Vector Autoregressive modeling and Detection. It requires ARMASA toolbox. This toolbox can be downloaded from the Matlab Central file exch
ASA
- 自动谱分析：可用于丢失/采样/子束光谱分析；矢量自动迭代，可用于建模，故障诊断；-The applications of this additional toolbox are: - Automatic spectral analysis for Irregular sampling/Missing data, analysis of spectral subbands, - Vector Autoregressive modeling and Detection [uses ARMA
ARMAsel_mis_irreg
- Autoregressive model for missing data
divergence-w
- 利用散度法计算垂直速度，主要是缺测值的处理-Calculated using the vertical velocity dispersion, mainly dealing with missing data values
mvkernelsmoothing
- 多维核平滑回归，对于存在数据点缺失或含噪声的情况，具有较好的鲁棒性。-Multi-dimensional kernel smoothing regression, data points for the existence of the case of missing or noisy, and has good robustness.
hgfrz
- This package estimates parameters of a Gaussian copula, treating the univariate marginal distributions as nuisance parameters as described in Hoff(2007). It also provides a semiparametric imputation procedure for missing multivariate data.
1
- ：（1）从置换算法中任选2种；（2）建立页表；（3）设计的输入数据要能体现算法的思想（4）事先假定分配的物理块是空闲的；（5）求出各置换算法中的缺页次数和置换次数 -: (1) Choose from two kinds of replacement algorithm (2) building the page tables (3) design of the input data to reflect the thinking of the algorithm (4) presupp
Correlationmiss
- Correlation coefficient r between two series x(i) and y(i) with missing data, where i=1,...,n. input: x(n),y(n),undef undef is missing data however, if ax or sx is still undefined, it will be -9.99e33 whatever the input undef is. output: r an
add-missing-data
- 这是一个Matlab程序，用牛顿插值法，补充缺失的数据，从而保证了数据的完整性。-This is a Matlab program, using Newton s interpolation method, add missing data, thus ensuring data integrity.
KNN_imputer
- 基因数据的缺失值预测，主流KNN算法的代码包-Missing values to predict the genetic data, Mainstream KNN algorithm code package
shapletsurf
- Function reconstructs an estimate of a surface from its surface normals by correlating the surface normals with that those of a bank of shapelet basis functions. The correlation results are summed to produce the reconstruction. The sumation of shapel
Correlationmiss
- 求有缺省资料的两个序列x(n)和y(n)的相关系数r。-Correlation coefficient r between two series with missing data
01
- 用于格点数据进行距平计算，并且考虑了缺测值问题，对于新手非常有用哦-For grid point data the anomaly calculation and consider the problem of missing values, useful for the novice Oh
处理缺失数据的高级方法
- 数据探索分析中处理缺失数据的高级处理方法(Advanced processing methods for missing data processing in data discovery analysis)