Explaining outliers is a topic that attracts a lot of interest; however existing proposals focus on the identification of the relevant dimensions. We extend this rationale for unsupervised distance-based outlier detection. and through investigating subspaces. we propose a novel labeling of outliers in a manner that is intuitive for the user and does not require any training at runtime. https://www.bekindtopets.com/flash-grab-DuramaxTuner-DT8170010101080-Switch-on-the-Fly-Tune-incl-EFI-Live-Spade-cDuramax-LWN-flash-save/