23 lines
No EOL
687 B
Matlab
23 lines
No EOL
687 B
Matlab
% implements the Back Projection algorithm, returns nothing but displays
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% the first 5 eigenfaces of the training data after being 'back-projected'
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% using the first 10, 50, and 100 eigenvectors of the data.
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function [] = Back_Project(training_data, test_data, n_components)
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% stack data
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data = vertcat(training_data, test_data);
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% TODO: perform PCA
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% for each number of principal components
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for n = 1:length(n_components)
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% TODO: perform the back projection algorithm using the first n_components(n) principal components
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% TODO: plot first 5 images back projected using the first
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% n_components(n) principal components
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end
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end % Function end |