搜索资源列表
eemscat
- 一种能够消除三维荧光瑞利散射，而且能对移去区域以内插值的形式引入，从而避免缺失值的出现-The function EEMscat is a function that takes an EEM dataset and removes scattering as well as (optionally) interpolates the removed areas such that there are no missing values introduced.
pcamv
- Matlab package for PCA for datasets with missing values
imputation
- 不完全数据分析MATLAB程序（部分信息重建）：最小均方估计、协方差矩阵、缺失值推测-Analysis of incomplete datasets: Estimation of mean values and covariance matrices and imputation of missing values
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
Classifier_gaussian
- The code is for Classification using Gaussian Method on the Multi Variate Dataset with no missing values.
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
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
How-Use-ODE45-to-solve-Boundary-Value-ODE
- In MATLAB, usually we use function bvp4c() to solve boundary value problem (BVP) of ODE. However, we also can use function ode45() to solve BVP of ODE too. However, ode45() needs all initial values at one point. Therefore we have to construct an auxi
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
LIBSVMconverter
- Convert array to a text file that can use with LIBSVM library Convert LIBSVM file format to an array Disadv: does not work if missing values are present.
DM5
- 使用matlab进行数据预处理，包括缺失值和离群值的处理-Using matlab for data preprocessing, including missing values and outliers are treated
missing_toolbox
- 用于处理各种丢失数据的matlab函数。-various functions for handling missing values.
M5PrimeLab
- M5PrimeLab是一种Matlab / Octave工具箱，可以利用M5的方法构建回归树和模型树。M5PrimeLab接受的输入变量是连续的、二进制和明确的,以及管理缺失值。-M5PrimeLab is a Matlab/Octave toolbox for building regression trees and model trees using M5 method. M5PrimeLab accepts input variables to be continuous, binar
fill_gap
- Filling in the missing values or 3d data interpolation
TensorCompletion
- 张量补全很好的学习代码，从Trans大神主页找到的~(Tensor Completion for Estimating Missing Values in Visual Data)