This list is not exhaustive. For example, lists multiple distance and similarity measures for different kinds of data: numerical (12), boolean (8), string (5), images & color (2), geospatial & temporal (4), and general & mixed (1).
Nominal variables are variables that have two or more categories, but which do not have an intrinsic order. Dichotomous variables are nominal variables which have only two categories.
Dichotomous attributes (e.g. yes-or-no) are distinct from binary attributes (present vs....