New Fundamental technologies in Data Mining

0358973 - ÚI 2012 RIV HR eng M - Monography Chapter
Jiřina, Marcel - Jiřina jr., M.
Classifiers Based on Inverted Distances. Chapter 19.
New Fundamental technologies in Data Mining. Rijeka: InTech, 2011 - (Funatsu, K.; Hasegawa, K.), s. 369-386. ISBN 978-953-307-547-1
R&D Projects: GA MŠMT(CZ) 1M0567
Institutional research plan: CEZ:AV0Z10300504
Keywords : classification * neighbor distances * correlation dimension * Zipfian distribution
Subject RIV: BB - Applied Statistics, Operational Research
http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances

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.
Permanent Link: http://hdl.handle.net/11104/0196862