Hi Wasima,
The "kmeans" function returns an array of cluster indices, which you can use to separate your data according to the clusters and store accordingly.
The below code snippet demonstrates how to do that:
% Perform k-means clustering
numClusters = 5;
T = kmeans(dataSet, numClusters);
% Initialize cell arrays to store cluster outputs
clusters = cell(numClusters, 1);
% Separate the data into clusters based on the cluster indices
for i = 1:numClusters
clusters{i} = dataSet(T == i, :);
end
For more details, please refer to the following MathWorks documentation: kmeans - https://www.mathworks.com/help/stats/kmeans.html
Hope this helps!
