Modern multidimensional scaling: Theory and applications, 2nd ed.
By I. Borg, Patrick J. F. Groenen. 2005
568 citations recorded by the source corpus.
View Paper: https://www.semanticscholar.org/paper/6981874ac26a4009fc9277e05639a9735d41081d
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Citations in the corpus
- A Big Data Analytics Method for Tourist Behaviour Analysis (2017, unknown): “We thus apply the Multidimensional Scaling (MDS) technique [6] to the bag of words feature.”
- Faces of Product Pleasure: 25 Positive Emotions in Human-Product Interactions (2012, methodology): “To explore similarities and create categories, a multidimensional scaling (MDS) analysis was performed (SPSS Proxscal; see Borg & Groenen, 2005).”
- Human Action Recognition by Shape Analysis of Motion Trajectories on Riemannian Manifold (2014, methodology): “In order to visualize samples of three different classes in a 2-D space, the multidimensional scaling (MDS) technique [40] is applied using distance matrix computed on the shape space.”
- Standardization in psychological research. (2010, methodology): “Multi-dimensional scaling (Borg & Groenen, 2005; Kruskal & Wish, 1978), using distances and specification of ordinal measurement, is an appropriate alternative for analysing ipsative data.”
- Virtual Microscopy and Grid-enabled Decision Support for Large Scale Analysis of Imaged Pathology Specimens (2009, methodology): “The final step was to apply the standard multiple dimensional scaling (MDS) [30] to the matrix of graph distance M = {dG(i, j)}.”
- Representational Similarity Analysis – Connecting the Branches of Systems Neuroscience (2008, unknown): “A good entry to the literature is provided by Edelman (1998), who (Edelman et al., 1998) also pioneered application of similarity analysis to fMRI activity patterns using the technique of multidimensional scaling (MDS; Borg and Groenen, 2005; Kruskal and Wish, 1978; Shepard, 1980; Torgerson, 1958).”