MATLAB: TrainImageCategoryClassifier vs Classification learner app of the matlab

classification learnertrainimagecategoryclassifier

trainImageCategoryClassifier is based on svm classification technique. Classification learner app has more classification techniques.

Not clear what was the purpose of trainImageCategoryClassifier when Classification learner app is existing.

Any thought?

Best Answer

Hi,

MATLAB apps are interactive applications written to perform technical computing tasks. As mentioned earlier these are interactive applications and can be built using existing MATLAB functions, custom functions etc.,. Where as the trainImageCategoryClassifier is a function that user can use in his custom code development.

Hope this helps!

Related Solutions

MATLAB: Is it possible to see which instances are classified incorrectly for the trainImageCategoryClassifier example

I've answered my own question with a bit of searching, sorry!

%output classifications
for i = 1:length(testSet.Files)
    [idx,score] = predict(categoryClassifier,readimage(testSet,i));
    if (testSet.Labels(i) ~= categoryClassifier.Labels(idx))
        i %just output the index, do interesting things with it later
    end
end

MATLAB: Classify responses into categories

As I said in my comments, it is very likely that splitting your matrix is going to make further processing more complicated, not easier. With that caveat:

[catnames, ~, subs] = unique(stimuli(:, 2));  %get unique names and corresponding rows/columns
splitresponses = accumarray(subs, (1:numel(subs))', [], @(cols) {responses(:, cols)});

splitresponses will be a cell array, where splitresponses{i} corresponds to all the responses for catnames{i}. Whatever you do, do not create individual variables for these.

If need be, you can convert the cell array into a structure whose fields are named after the stimuli:

responsesbystimuli = cell2struct(splitresponses, catnames)

but that again is likely to make your processing more complicated.

Best Answer

Related Solutions

MATLAB: Is it possible to see which instances are classified incorrectly for the trainImage​CategoryCl​assifier example

MATLAB: Classify responses into categories

Related Question

MATLAB: Is it possible to see which instances are classified incorrectly for the trainImageCategoryClassifier example