How to normalize data set in MATLAB. If it is csv file .
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tejasvee
el 26 de Abr. de 2017
Respondida: temeraire007
el 11 de Feb. de 2024
I want to train my Extreme Learning Machine. but data set should be normalized between -1 to 1.My data set is csv file.i want to know how to normalize csv file.I read the question asked by others but it didn't work.please help.
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Jan
el 26 de Abr. de 2017
"It didn't work" is not a useful description of your problems. Please post your code and post a complete copy of the error message. How could we suggest an improvement, when we have to guess, what the problem is?
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Jan
el 26 de Abr. de 2017
Editada: Jan
el 26 de Abr. de 2017
You cannot normalize a file. You have to import the data at first, most likely by csvread or readtable. Then the normalization should be exactly as shown in many otehr threads:
Data = rand(10, 20); % Test data, use your data instead
minData = min(Data(:));
maxData = max(Data(:));
scaled = (Data - minData) / (maxData - minData); % Scaled to [0, 1]
scaled = scaled * 2 - 1; % Scaled to [-1, 1]
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Chris
el 11 de Ag. de 2023
This doesn't work. It says Error using " / " Arguments must be numeric, char or logical. Even though the data i used is a numeric data.
Walter Roberson
el 11 de Ag. de 2023
It sounds as if you might have a table() object instead of a numeric array.
ExistingVars = YourTable.Properties.VariableNames;
NewTable = varfun(YourTable, @(V)rescale(V,-1,1), 'InputVariables', @isnumeric );
NewTable.Properties.Variablenames = ExistingVars;
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temeraire007
el 11 de Feb. de 2024
There are also a couple of tools you can use. I have to do this kind of data cleaning on a monthly basis as our CRM is just completely useless. The tools are not perfect by any means, but for me for large files like +5K data entries saved some time.
OpenRefine (will have to download the tool but its really powerful to automate)
DataNormalizer (Online solution, so no need to download anything, got quiet good results quickly)
TableAnalyzer (tool from Microsoft but I think only works for MicrosoftAccess)
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