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

Manabu Ichino · 2005

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.

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