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

3 次查看(过去 30 天)
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).

回答(1 个)

Shubham
Shubham 2023-10-23
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.

类别

Help CenterFile Exchange 中查找有关 Cluster Analysis and Anomaly Detection 的更多信息

产品


版本

R2021a

Community Treasure Hunt

Find the treasures in MATLAB Central and discover how the community can help you!

Start Hunting!

Translated by