Clustering quality metrics for subspace clustering

•We present the first study of parameter selection for subspace clustering algorithms.•A novel point-to-point distance is defined for points on a union of subspaces.•Several clustering quality metrics specific to subspace clustering are proposed.•Accounting for underlying geometry in data improves clustering validation results.