Having warning errors ..

% Load command can subsequently be used to retrieve the file of the samples
% containing MATLAB formatted data
load samples.mat;
% Dimensions of matrix can be detremined by the size samples(which is the
% function)
[n,m] = size(class_samples);
% MATLAB would display in succession in 1, 2, 3 and the step of increment
% is default to 1. Which is taking three arrays of numbers and returns the
% mahalonobis distance between two points.
% Eq.45 from the Pattern Classification book define mahalanobis distance as 
% r^2 = the differences of x & mu which is transposed times inverse 
% of sigma times the differences of x & mu
for i=1:3
    mu{i} = mean(class_samples(:,(i-1)*3+1:i*3))';
    mu{i} = ones(size,samples.mat);
    sigma{i} = zeros(3);
    for j=1:n
        sigma{i} = sigma{i}+...
            (class_samples(j,(i-1)*3+1:i*3)'- mu{i})*...
            (class_samples(j,(i-1)*3+1:i*3)'- mu{i})';
    end
    sigma{i} = sigma{i}./n;
end
s = [1 2 1; 5 3 2; 0 0 0; 1 0 0]'
for j=1:size(s,2)
    for i=1:3
        d = sqrt((s:j)-mu{i})'*(inv(sigma{1}))*(s(:,j)-mu{i});
        %
        fprintf('Mahal. dist. for class %d and point %d: %: %f\n', i, j, d);
    end
end
pw(1,:) = [1/3 0.8];
pw(2,:) = [1/3 0.8];
pw(3,:) = [1/3 0.8];
for p=1:2
    fprintf('\n\n\n\n');
    for j=1:size(s,2)
        class = 0; max.gi = -1000000;
        for i=1:3
            d_i = (s(:,j)-mu{i})'*inv(sigma{i})*(s(:,j)-mu{i});
            g_i = -0.5*d_i - 1.5*log(2*pi) - 0.5*log(det(sigma{i})) +...
                log(pw(i,p));
            if gi > max_gi
                max_gi = gi;
                class = i;
            end
        end
        fprintf('Point %d classified in category %d\n', j, class);
    end
end

%samples.mat file is 10by9 double

[Walter Roberson]

        d = sqrt((s:j)-mu{i})'*(inv(sigma{1}))*(s(:,j)-mu{i});

You calculate that information and display it, but you do not save that information. Should you be saving it, or is the display of the information just for debugging purposes?

Answer 1

[Image Analyst]

You didn't say what the warnings were, nor did you attach samples.mat, probably because you chose not to read the Community Guidelines.

You didn't say if the warning was a squiggly orange line in the editor, or if it was generated in the command window when you ran your program.

But warnings won't prevent your program from running, though it's good for you to understand what they're saying. I have hundred of warnings in my programs and I just ignore them. Things like "Add a semicolon after the statement to hide the output", etc.

If you have any more questions, then attach your data and code to read it in with the paperclip icon after you read this:

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