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BlueMind missing data imputation Project

version 1.1 (626 KB) by Abolfazl Nejatian
missing value prediction by use of deep learning algorithm and shallow learning algorithm

6 Downloads

Updated 26 Nov 2018

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Hey everyone in this work I’ve written a MATLAB app that can predict missing values in the dataset by use of deep learning and shallow learning algorithms.
it doesn’t matter how much you’re familiar with MATLAB, value and deep learning this app can be used as a standalone program in MATLAB.

as preprocess part of work, it might be useful for Every scientist statistician and engineers who work with database and datasets.

If you need further information about network structures or code …
or have any questions related to algorithms, please do not hesitate to mail me.
I hope to improve it by your opinion.
Best regards
Abolfazl Nejatian
mail: Abolfazl.nejatian@gmail.com

Cite As

Abolfazl Nejatian (2019). BlueMind missing data imputation Project (https://www.mathworks.com/matlabcentral/fileexchange/69291-bluemind-missing-data-imputation-project), MATLAB Central File Exchange. Retrieved .

Comments and Ratings (1)

haha

错误使用 nargout
错误: 文件:LearningAlgorithm.mlapp
行:5 列:47
MATLAB 运算符异常。

出错 BlueMindApp/startApp (line
58)
if
nargout(@LearningAlgorithm)
== 0

出错 BlueMindApp (line 38)
startApp(obj)

出错
appinstall.internal.runapp>execute
(line 78)
out = evalin('caller', [script
';']);

出错
appinstall.internal.runapp>runapp13a
(line 57)
outobj =
execute(fullfile(appinstalldir,
[wrapperfile 'App.m']));

出错
appinstall.internal.runapp>runcorrectversion
(line 36)
appobj =
runapp13a(appinstalldir);

出错 appinstall.internal.runapp
(line 18)
out =
runcorrectversion(appmetadata,
appentrypoint,
addonmetadatadir);

Updates

1.1

fix some minor bogs

MATLAB Release Compatibility
Created with R2018a
Compatible with any release
Platform Compatibility
Windows macOS Linux