`doKmeans()` performs k-means clustering on a data matrix `X` and returns both the full `kmeans` object along with the resulting cluster labels.
This function standardizes how PART calls k-means and ensures consistent use of the `nstart` parameter. K-means in this context always uses Euclidean distance.
doKmeans(X, k, nstart)A numeric data matrix where rows represent observations and columns represent features.
The number of clusters to form. Must be at least 1 and strictly less than the number of observations.
The number of random initializations used in the k-means algorithm. Passed directly to `stats::kmeans()` to improve robustness of results.