how to use k-mean clustering in the case of cells containing matrices?

Hello everyone, i hope you are all well.

I am trying to figure out how to use the k-mean clustering on a cell array containing 120 cells ( these are my variables) and each cell contains a 12*5 matrix ( these are my observations for each variable).

Answer 1

[Shubham]

Hi Ammar,

To use k-means clustering on a cell array containing 120 cells, where each cell contains a 12x5 matrix of observations, you can follow these steps in MATLAB:

1. Convert the cell array into a numerical matrix:

• Create an empty matrix of appropriate size, e.g., dataMatrix = zeros(12*5, 120).
• Use a loop to iterate over each cell in the cell array and reshape it into a column vector.
• Assign the reshaped column vector to the corresponding column in dataMatrix.

2. Perform k-means clustering on the data matrix:

• Use the kmeans function in MATLAB to perform the clustering.
• Specify the desired number of clusters, k, as an input argument.
• Optionally, you can also specify additional parameters such as the maximum number of iterations and the number of times to repeat the clustering to find the best solution.