K-means + silhouette-score mode discovery

Runs k-means over a PCA-reduced activation population for a sweep of cluster counts k, reporting the maximum silhouette score achieved as a scalar 'how cleanly does this population split into discrete modes' statistic — used to compare whether one domain's representations organize into sharply-separated discrete clusters while another remains a single smooth blob.