General Metrics For Mixed Features The Cartesian Space Theory For Pattern Recognition

General distance functions for mixed feature variables are defined based on the Cartesian space (U/sup (d)/, +,x) which is our new mathematical model for pattern recognition. In our metrics, a sample can be described by a d-tuple which is composed of closed intervals and/or finite sets.