How do I normalize the data set of 3 groups and 50 images (3X50) and for each image9 features have been calculated?

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Bajdar Nour 2018-8-28

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https://ww2.mathworks.cn/matlabcentral/answers/416518-how-do-i-normalize-the-data-set-of-3-groups-and-50-images-3x50-and-for-each-image9-features-have

评论： Bajdar Nour 2018-9-1

采纳的回答： Joep Linssen

Here is the part view of the data

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Joep Linssen 2018-8-28

How do you want to normalize the data? Along each row, along each column, for the entire set? And, what is your normalization criteria; should the maximum singular feature value not exceed 1, or, should the sum of the 9 features not exceed 1, or, something else?

Bajdar Nour 2018-8-28

编辑：Bajdar Nour 2018-8-28

Dear @Joep Linssen thanks for the reply..simply I want to determine max. value among all then divides each feature in each image by this max. value.

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Answer 1

Joep Linssen 2018-8-28

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https://ww2.mathworks.cn/matlabcentral/answers/416518-how-do-i-normalize-the-data-set-of-3-groups-and-50-images-3x50-and-for-each-image9-features-have#answer_334419

编辑：Joep Linssen 2018-8-28

在 MATLAB Online 中打开

Hi Bajdar,

Based on your comment the following code should work:

 feature_vel = cell(3, 50);
 feature_vel = cellfun(@(x) rand(1,9).*2, feature_vel, 'UniformOutput', false);
 max_per_entry = cellfun(@max, feature_vel);
 max_of_all_entries = max(max(max_per_entry));
 feature_vel_normalized = cellfun(@(x) x./max_of_all_entries, feature_vel, 'UniformOutput', false);

The utilized function cellfun applies a function to each element of a cell array. First it is used to compute the maximum value of the 9 features of each element. The max(max()) call then finds the maximum value across all elements. Finally, cellfun is used again to divide the arrays at each element of the cell vector by the found maximum value, by utilizing an anonymous function.