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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!
  3 Kommentare
NALLARASU KRISH
NALLARASU KRISH am 13 Mär. 2024
Thank you. But your answer partially solves the problem when i try to calculate mean. Can't i get cell2mat output as ,for ex first cell row, 23x2 size instead of 1x46 double?
Walter Roberson
Walter Roberson am 13 Mär. 2024
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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Akzeptierte Antwort

Stephen23
Stephen23 am 13 Mär. 2024
Bearbeitet: Stephen23 am 13 Mär. 2024
V = [23;27;26;17;7];
N = numel(V);
C = nan(N,2);
for k = 1:N
M = vertcat(iniclu{k,1:V(k)}); % comma-separated list
C(k,:) = mean(M,1);
end

Weitere Antworten (1)

VBBV
VBBV am 13 Mär. 2024
bb = cell2mat(iniclu(i,1:count(i)));

Use a ( ) in place of { }

  9 Kommentare
NALLARASU KRISH
NALLARASU KRISH am 13 Mär. 2024
OMG! This is working, you are really great. Thank you!! I accept this answer too. Sorry for my carelessness. Could you explain the difference bw bb = reshape(bb,2,[]).'; and bb = reshape(bb,[],2).'; that did the magic, @VBBV ?
Steven Lord
Steven Lord am 13 Mär. 2024
Look at the sizes of the outputs and the arrangement of data in those outputs.
bb = 1:10
bb = 1×10
1 2 3 4 5 6 7 8 9 10
bb1 = reshape(bb, 2, []).'
bb1 = 5×2
1 2 3 4 5 6 7 8 9 10
bb2 = reshape(bb, [], 2).'
bb2 = 2×5
1 2 3 4 5 6 7 8 9 10

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