Iterative Fisher/minimum-variance optical classifier

摘要

Automated organization and search of a large database is addressed. We consider image spectrometry data for mineral element classification as our large class problem. We find our new iterative Fisher/minimum-variance classifier design and knowledge-base organization yields 100% correct classification with high confidence.