Classifiers Based on Inverted Distances. Chapter 19

Autoři: Marcel Jiřina
Rok vydání: 2011
Typ publikace: Kapitola v monografii
Periodikum: New Fundamental technologies in Data Mining
Projekty: Centrum aplikované kybernetiky
Bibliografická citace: JIŘINA, Marcel, JIŘINA JR., M. Classifiers Based on Inverted Distances. Chapter 19. In: FUNATSU, K., HASEGAWA, K., eds. New Fundamental technologies in Data Mining. Rijeka: InTech, 2011, S. 369-386. ISBN 978-953-307-547-1. Dostupné z: http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances
ID: 358973
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Abstrakt

First, we provide a shot overview of the basic idea of the IINC (Inverted Indexes of Neighbors Classifier) and its features and show a simple demonstative example of a pragmatic approach to a simple classification task. Second, we give a deeper mathematical insight into the method. Finally, we will demonstrate the power of the IINC on data sets from well-known ICU ML repository of real-life tasks.