Classifiers Based on Inverted Distances
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21460%2F10%3A00177423" target="_blank" >RIV/68407700:21460/10:00177423 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Classifiers Based on Inverted Distances
Original language description
In this chapter we describe an elaborated yet simple classification method (IINC) that can outperform a range of standard classification methods of data mining, e.g. K-Nearest neighbors, Na?ve Bayes Classifiers' as well as SVM. In any case the method isan alternative to well-known and widely used classification methods.
Czech name
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Czech description
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Classification
Type
C - Chapter in a specialist book
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
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Continuities
Z - Vyzkumny zamer (s odkazem do CEZ)
Others
Publication year
2010
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
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
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Number of pages of the book
584
Publisher name
InTech
Place of publication
Rijeka
UT code for WoS chapter
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