1 code implementation • 10 Dec 2019 • Abraham Nunes, Martin Alda, Timothy Bardouille, Thomas Trappenberg
Unfortunately, numbers equivalent heterogeneity measures for non-categorical data require {a priori} (A) categorical partitioning and (B) pairwise distance measurement on the observable data space, thereby precluding application to problems with ill-defined categories or where semantically relevant features must be learned as abstractions from some data.
