Sparsified Multidimensional Scaling and Sparsified Multidimensional Distance Analysis

Publikation: Working/Discussion Paper › WU Working Paper

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Originalsprache	Englisch
Herausgeber	WU Vienna University of Economics and Business
DOIs	https://doi.org/10.57938/355bf835-ddb7-42f4-8b85-129799fc240e
Publikationsstatus	Veröffentlicht - 2024

Reihe	Discussion Paper Series / Center for Empirical Research Methods
Nummer	2024/01

WU Working Paper Reihe

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title = "Sparsified Multidimensional Scaling and Sparsified Multidimensional Distance Analysis",

keywords = "proximity scaling, dimensionality reduction, multivariate statistics, manifold learning, data visualization, ordination",

author = "Thomas Rusch",

year = "2024",

doi = "10.57938/355bf835-ddb7-42f4-8b85-129799fc240e",

language = "English",

series = "Discussion Paper Series / Center for Empirical Research Methods",

number = "2024/01",

publisher = "WU Vienna University of Economics and Business",

address = "Austria",

type = "WorkingPaper",

institution = "WU Vienna University of Economics and Business",

}

TY - UNPB

T1 - Sparsified Multidimensional Scaling and Sparsified Multidimensional Distance Analysis

AU - Rusch, Thomas

PY - 2024

Y1 - 2024

KW - proximity scaling

KW - dimensionality reduction

KW - multivariate statistics

KW - manifold learning

KW - data visualization

KW - ordination

U2 - 10.57938/355bf835-ddb7-42f4-8b85-129799fc240e

DO - 10.57938/355bf835-ddb7-42f4-8b85-129799fc240e

M3 - WU Working Paper

T3 - Discussion Paper Series / Center for Empirical Research Methods

BT - Sparsified Multidimensional Scaling and Sparsified Multidimensional Distance Analysis

PB - WU Vienna University of Economics and Business

ER -