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Statements

Subject Item
n2:RIV%2F68407700%3A21460%2F10%3A00177423%21RIV11-MSM-21460___
rdf:type
skos:Concept n12:Vysledek
dcterms: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 is an alternative to well-known and widely used classification methods. 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 is an alternative to well-known and widely used classification methods.
dcterms:title
Classifiers Based on Inverted Distances Classifiers Based on Inverted Distances
skos:prefLabel
Classifiers Based on Inverted Distances Classifiers Based on Inverted Distances
skos:notation
RIV/68407700:21460/10:00177423!RIV11-MSM-21460___
n3:aktivita
n15:Z
n3:aktivity
Z(MSM6840770012)
n3:dodaniDat
n8:2011
n3:domaciTvurceVysledku
n5:3657833
n3:druhVysledku
n19:C
n3:duvernostUdaju
n17:S
n3:entitaPredkladatele
n10:predkladatel
n3:idSjednocenehoVysledku
250920
n3:idVysledku
RIV/68407700:21460/10:00177423
n3:jazykVysledku
n18:eng
n3:klicovaSlova
classification; nearest neighbor; data distribution
n3:klicoveSlovo
n16:classification n16:nearest%20neighbor n16:data%20distribution
n3:kontrolniKodProRIV
[A39F849C667A]
n3:mistoVydani
Rijeka
n3:nazevZdroje
New Fundamental Technologies in Data Mining
n3:obor
n13:IN
n3:pocetDomacichTvurcuVysledku
1
n3:pocetStranKnihy
584
n3:pocetTvurcuVysledku
2
n3:rokUplatneniVysledku
n8:2010
n3:tvurceVysledku
Jiřina, Marcel Jiřina, M.
n3:zamer
n9:MSM6840770012
s:numberOfPages
18
n14:hasPublisher
InTech
n20:isbn
978-953-307-547-1
n7:organizacniJednotka
21460