Classifiers Based on Inverted Distances. Chapter 19

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F11%3A00358973" target="_blank" >RIV/67985807:_____/11:00358973 - isvavai.cz</a>

Result on the web

<a href="http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances" target="_blank" >http://www.intechopen.com/books/new-fundamental-technologies-in-data-mining/classifiers-based-on-inverted-distances</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

Classifiers Based on Inverted Distances. Chapter 19

Original language description

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.

Czech name

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Czech description

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Type

C - Chapter in a specialist book

CEP classification

BB - Applied statistics, operational research

OECD FORD branch

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Project

<a href="/en/project/1M0567" target="_blank" >1M0567: Centre for Applied Cybernetics</a><br>

Continuities

Z - Vyzkumny zamer (s odkazem do CEZ)

Publication year

2011

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Book/collection name

New Fundamental technologies in Data Mining

ISBN

978-953-307-547-1

Number of pages of the result

18

Pages from-to

369-386

Number of pages of the book

584

Publisher name

InTech

Place of publication

Rijeka

UT code for WoS chapter

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