Too many input arguments error when cell2mat and mean functions are used
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I have five cluster data saved in my cell array iniclu. Each row of cell array contains varying number of columns such as 23 27 26 17 7 so that the shortage of columns are marked as [] to the max of 27. Now i want to process cell array row one by one to find mean or centroid of each cluster. My usage is shown in code, but it throws error.
count = [23 27 26 17 7]
iniclu = cell(1,1); %later i built the cluster data as shown in fig
for i = 1:5
bb = [];
bb = cell2mat(iniclu{i,1:count(i)});
centroids(i,:) = mean(bb,1);
end
But it throws too many input arguments error, hence i could not get expected op as centroids having 5x2 means data. I have attached content of iniclu data. Pls clarify!
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Walter Roberson
2024-3-13
no, you have different sizes of cells; you can only put them together as a vector (unless you are willing to pad the entries)
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VBBV
2024-3-13
bb = cell2mat(iniclu(i,1:count(i)));
Use a ( ) in place of { }
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Steven Lord
2024-3-13
Look at the sizes of the outputs and the arrangement of data in those outputs.
bb = 1:10
bb1 = reshape(bb, 2, []).'
bb2 = reshape(bb, [], 2).'
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