About: Comparison of dimensionality reduction methods applied to ordinal data

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rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://msed.vse.cz/msed_2013/en/index
Description	The paper deals with the comparison of data dimensionality reduction methods with emphasis on ordinal data. Categorical and especially ordinal data we frequently obtain from questionnaire surveys. A questionnaire usually includes a big amount of questions (variables). For applications of multivariate statistical methods, it is useful to reduce the number of these questions and create new latent variables, which represent groups of original questions. Some dimensionality reduction methods are applicable to ordinal data (latent class models), some methods must be improved (categorical principal component analysis). Other methods are based on a distance matrix, so it is possible to use an appropriate distance measure for ordinal data (multidimensional scaling). In this paper, dimensionality reduction methods are applied to real datasets including ordinal data in the form of Likert scales. Various techniques for the comparison of these methods are used. They are aimed to investigate goodness of the data structure in original and reduced space. In this paper the goodness is evaluated by Spearman rank correlation coefficient. The paper deals with the comparison of data dimensionality reduction methods with emphasis on ordinal data. Categorical and especially ordinal data we frequently obtain from questionnaire surveys. A questionnaire usually includes a big amount of questions (variables). For applications of multivariate statistical methods, it is useful to reduce the number of these questions and create new latent variables, which represent groups of original questions. Some dimensionality reduction methods are applicable to ordinal data (latent class models), some methods must be improved (categorical principal component analysis). Other methods are based on a distance matrix, so it is possible to use an appropriate distance measure for ordinal data (multidimensional scaling). In this paper, dimensionality reduction methods are applied to real datasets including ordinal data in the form of Likert scales. Various techniques for the comparison of these methods are used. They are aimed to investigate goodness of the data structure in original and reduced space. In this paper the goodness is evaluated by Spearman rank correlation coefficient. (en)
Title	Comparison of dimensionality reduction methods applied to ordinal data Comparison of dimensionality reduction methods applied to ordinal data (en)
skos:prefLabel	Comparison of dimensionality reduction methods applied to ordinal data Comparison of dimensionality reduction methods applied to ordinal data (en)
skos:notation	RIV/71226401:_____/13:#0000108!RIV15-MSM-71226401
http://linked.open...avai/riv/aktivita	S Z
http://linked.open...avai/riv/aktivity	S, Z(MSM6138439910)
http://linked.open...vai/riv/dodaniDat	2015
http://linked.open...aciTvurceVysledku	Prokop, Martin
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	Vysoká škola polytechnická Jihlava
http://linked.open...dnocenehoVysledku	66181
http://linked.open...ai/riv/idVysledku	RIV/71226401:_____/13:#0000108
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	dimension reduction, principal component analysis, multidimensional scaling, latent class models (en)
http://linked.open.../riv/klicoveSlovo	dimension reduction multidimensional scaling principal component analysis latent class models
http://linked.open...ontrolniKodProRIV	[23434F7EB84B]
http://linked.open...v/mistoKonaniAkce	Praha
http://linked.open...i/riv/mistoVydani	Praha
http://linked.open...i/riv/nazevZdroje	The 7th International Days of Statistics and Economics Conference Proceedings
http://linked.open...in/vavai/riv/obor	AO
http://linked.open...ichTvurcuVysledku	1 (xsd:int)
http://linked.open...cetTvurcuVysledku	2 (xsd:int)
http://linked.open...UplatneniVysledku	2013
http://linked.open...iv/tvurceVysledku	Prokop, Martin
http://linked.open...vavai/riv/typAkce	EUR - Evropská
http://linked.open.../riv/zahajeniAkce	2013-09-19 (xsd:date)
http://linked.open...n/vavai/riv/zamer	Metody získávání znalostí z dat a jejich využití v ekonomickém rozhodování
number of pages	10 (xsd:int)
http://purl.org/ne...btex#hasPublisher	Melandrium
https://schema.org/isbn	978-80-86175-87-4

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