MATLAB: How to find centroid based on clusterdata

centroidclusterdata

Hi,

I have an array that contains cluster coordinates. X-coordinates are in an array called:

xArray = [50×1 single] [20×1 single] (2 clusters) and

yArray = [50×1 single] [20×1 single] (corresponding y coordinates)

I would like to find a centroid point based on these cluster points, so I for cluster 1 I have

(x,y) centroid and so on for cluster 2.

Best Answer

I guess your variables are cells... Your syntax is not very clear to me.

Anyway it should be

 c1 = [ mean(xArray{1}) mean(yArray{1})]
 c2 = [ mean(xArray{2}) mean(yArray{2})]

right?

Related Solutions

MATLAB: Using clusterdata and extracting data from it’s indexes.

A very simple but possibly obscure way is to use accumarray:

Asplit = accumarray(T', A, [], @(v) {v});

Note that the output is a cell array where each cell is a cluster. It's much better to use a cell array than individually named variables.

The above line is equivalent to:

Asplit = cell(max(T), 1);
for cluster = 1:max(T)
   Asplit{cluster} = A(T == cluster);
end

MATLAB: How to make function which gets as input arguments matrix of chars work

Kevin's Answer Is Correct Of Course,

But If that Was The Problem You Were Facing You Would Have Had A Different Error About Indexing Mismatch or SWITCH expression must be a scalar or a character vector.

I suspect you called the translation function with a character vector input, something like:

a = translation('GCUGAC')

the problem is that when you test the value at index m of that codons vector you get a single character 'G', 'C', 'U' or 'A' which is never equal to any of the sequences in your switch case.

what you need to do is send the codon sequence as a cell array of character vectors:

a = translation({'GCU' 'GAC'})

then you need to index that inside the loop with curly bracers like kevin said:

switch (codons{m})

and the output should also be a cell array proobably (like kevin suggested)

moreover, it's always a good idea to add a default value for output arguments, add

aminoacids = {};

just before the loop.

Best Answer

Related Solutions

MATLAB: Using clusterdata and extracting data from it’s indexes.

MATLAB: How to make function which gets as input arguments matrix of chars work

Related Question