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Multidimensional Scaling in Market Research: Advantages and Disadvantages
Lithuanian Journal of Statistics, 2010 Multidimensional scaling was developed by psychometricians, namely R. N. Shepard (1962) and J. B. Kruskal (1964). Its purpose is to deduce indirectly the dimensions a respondent uses to evaluate alternatives.
Angelė Kėdaitienė, Vytautas Kėdaitis
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Pesquimat, 2014 Multidimensional scaling is a statistical method for analyzing dataassociated with a set of procedures aimed at the representation of data through aconfiguration of points where certain information is known about similarities betweenobjects.
Rosa Ysabel Adriazola Cruz +3 more
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MAPPING THE HAPPINESS LEVEL DISPARITY OF THE INDONESIAN POPULATION USING MULTIDIMENSIONAL SCALING
Barekeng, 2022 The Central Statistics Agency has published a survey report on the happiness of the Indonesian people in 2017. The survey results show that there are disparities that vary between provinces. The province with the highest happiness index was North Maluku,
Sumin Sumin, Heri Retnawati
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The trouble with stress: A flexible method for the evaluation of nonmetric multidimensional scaling
Limnology and Oceanography: Methods, 2018 Nonmetric multidimensional scaling (NMDS) is a powerful statistical tool which enables complex multivariate data sets to be visualized in a reduced number of dimensions. Users typically evaluate the fit of an NMDS ordination via ordination “stress” (i.e.,
E. Dexter +2 more
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Barekeng, 2016 Multidimensional Scaling (MDS) merupakan salah satu teknik peubah ganda yang dapat digunakan untuk menentukan posisi suatu objek berdasarkan penilaiannya kemiripannya.Tujuan penelitian ini adalah untuk memperoleh deskripsi pelanggan terhadap restoran ...
Ferry Kondo Lembang +2 more
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Unsupervised Feature Selection Based on Self-configuration Approaches using Multidimensional Scaling
Jambura Journal of Mathematics, 2023 Some researchers often collect features so the principal information does not lose. However, many features sometimes cause problems. The truth of analysis results will decrease because of the irrelevant or repetitive features.
Ridho Ananda +4 more
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A Review of Multidimensional Scaling (MDS) and its Utility in Various Psychological Domains [PDF]
Tutorials in Quantitative Methods for Psychology, 2009 This paper aims to provide a non-technical overview of multidimensional scaling (MDS) so that a broader population of psychologists, in particular, will consider using this statistical procedure. A brief description regarding the type of data used in MDS,
Angelina Chupetlovska-Anastasova +1 more
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Assessment of Water Quality Parameters by Using the Multidimensional Scaling Analysis
E-Journal of Chemistry, 2010 The surface water quality parameters of the western region of Black Sea in Turkey were assessed by using multidimensional scaling analysis. This technique was applied to the surface water quality parameters obtained from the five monitoring stations ...
Suheyla Yerel, Huseyin Ankara
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Análisis de proximidades métrico usando búsqueda tabú
Revista de Matemática: Teoría y Aplicaciones, 2009 We apply tabu search (TS) in metric multidimensional scaling, obtaining good results comparable to those obtained with simulated annealing. A state in TS is a configuration of n points in a p dimensional space, and a neighbour is defined by the ...
Mario A. Villalobos +1 more
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Discretization of Fractional Operators: Analysis by Means of Advanced Computational Techniques
Mathematics, 2021 This paper studies the discretization of fractional operators by means of advanced clustering methods. The Grünwald–Letnikov fractional operator is approximated by series generated by the Euler, Tustin and generalized mean.
Jose Tenreiro Machado +2 more
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