Multidimensional scaling for big data

Pedro Delicado () and Cristian Pachón-García ()
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Pedro Delicado: Universitat Politècnica de Catalunya·BarcelonaTech
Cristian Pachón-García: Universitat Politècnica de Catalunya·BarcelonaTech

Advances in Data Analysis and Classification, 2025, vol. 19, issue 3, No 5, 649-670

Abstract: Abstract We present a set of algorithms implementing multidimensional scaling (MDS) for large data sets. MDS is a family of dimensionality reduction techniques using a $$n \times n$$ n × n distance matrix as input, where n is the number of individuals, and producing a low dimensional configuration: a $$n\times r$$ n × r matrix with $$r

Keywords: Landmark MDS; Pivot MDS; Divide and conquer; Gower’s interpolation formula; Computational efficiency; Procrustes transformation; 62H99; 65Y20 (search for similar items in EconPapers)
Date: 2025
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DOI: 10.1007/s11634-024-00591-9

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