Similar to your other question, I used the same dataset to show how to determine the cluster labels
You need to use the function cluster to extract the cluster number of each data point. For example,
data=readtable('Liverxl.xlsx', 'ReadVariableNames', false);
data.Var2 = findgroups(data.Var2); % convert column
data.Var10(isnan(data.Var10)) = 0; % place 0 in empty cells
data = table2array(data);
maximum_num_clusters = 5;
Z = linkage(data, 'average');
cluster_labels = cluster(Z, 'Maxclust', maximum_num_clusters);
clusters = splitapply(@(x) {x}, data, cluster_labels);
Again here, clusters is a cell array.
