A granular, parametric KNN classifier

Authors:
Vassilis Th. Tsoukalas;Vassilis G. Kaburlasos;Christos Skourlas
Affiliations:
TEI of Kavala, Kavala, Greece;TEI of Kavala, Kavala, Greece;TEI of Athens, Athens, Greece
Venue:
Proceedings of the 17th Panhellenic Conference on Informatics
Year:
2013

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Abstract

This work presents a granular K Nearest Neighbor, or grKNN for short, classifier in the metric lattice of Intervals' Numbers (INs). An IN here represents a population of numeric data samples. We detail how the grKNN classifier can be parameterized towards optimizing it. The capacity of a preliminary grKNN classifier is demonstrated, comparatively, in four benchmark classification problems. The far-reaching potential of the proposed classification scheme is discussed.