About: Exponentially Scaled Point Processes and Data Classification

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
Description	We use a measure for distances of neighbors’ of a given point that is based on lp metrics and a scaling exponent. We show that if the measure scales with scaling exponent mentioned, then distribution function of this measure converges to Erlang distribution. The scaling of distances is used for design of a classifier. Three variants of classifier are described. The local approach uses local value of scaling exponent. The global method uses the correlation dimension as the scaling exponent. In the IINC method indexes of neighbors of the query point are essential. Results of some experiments are shown and open problems of classification with scaling are discussed. We use a measure for distances of neighbors’ of a given point that is based on lp metrics and a scaling exponent. We show that if the measure scales with scaling exponent mentioned, then distribution function of this measure converges to Erlang distribution. The scaling of distances is used for design of a classifier. Three variants of classifier are described. The local approach uses local value of scaling exponent. The global method uses the correlation dimension as the scaling exponent. In the IINC method indexes of neighbors of the query point are essential. Results of some experiments are shown and open problems of classification with scaling are discussed. (en)
Title	Exponentially Scaled Point Processes and Data Classification Exponentially Scaled Point Processes and Data Classification (en)
skos:prefLabel	Exponentially Scaled Point Processes and Data Classification Exponentially Scaled Point Processes and Data Classification (en)
skos:notation	RIV/67985807:_____/14:00430516!RIV15-AV0-67985807
http://linked.open...avai/riv/aktivita	I P
http://linked.open...avai/riv/aktivity	I, P(LG12020)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Jiřina, Marcel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Ústav informatiky AV ČR, v. v. i.
http://linked.open...dnocenehoVysledku	16117
http://linked.open...ai/riv/idVysledku	RIV/67985807:_____/14:00430516
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	multivariate data; nearest neighbor; Erlang distribution; multifractal; scaling exponent; classification; IINC (en)
http://linked.open.../riv/klicoveSlovo	classification multivariate data Erlang distribution multifractal nearest neighbor IINC scaling exponent
http://linked.open...ontrolniKodProRIV	[3667B1458420]
http://linked.open...v/mistoKonaniAkce	Santorini Island
http://linked.open...i/riv/mistoVydani	Athens
http://linked.open...i/riv/nazevZdroje	Advances in Applied and Pure Mathematics. Proceedings of the 2014 International Conference on Pure Mathematics, Applied Mathematics, Computational Methods PMAMCM 2014
http://linked.open...in/vavai/riv/obor	BB
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	1 (xsd:int)
http://linked.open...vavai/riv/projekt	Advanced statistical analysis and non-statistical separation techniques for physical processing detection in data sets sampled by means of elementary particle accelerators.
http://linked.open...UplatneniVysledku	2014
http://linked.open...iv/tvurceVysledku	Jiřina, Marcel
http://linked.open...vavai/riv/typAkce	WRD - Světová
http://linked.open.../riv/zahajeniAkce	2014-07-17 (xsd:date)
issn	2227-4588
number of pages	7 (xsd:int)
http://purl.org/ne...btex#hasPublisher	WSEAS Press
https://schema.org/isbn	978-1-61804-240-8

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