Porovnat metody

	Vícerozměrné škálování (MDS)	Diskriminační analýza
Obor	Statistika	Statistika
Rodina	Latent structure	Latent structure
Rok vzniku	1952–1964	1936
Tvůrce	Warren S. Torgerson (metric MDS, 1952); Joseph B. Kruskal (non-metric MDS, 1964)	Ronald A. Fisher
Typ	Dimensionality reduction / visualization	Supervised classification and dimension reduction
Původní zdroj	Kruskal, J. B. (1964). Multidimensional scaling by optimizing goodness of fit to a nonmetric hypothesis. Psychometrika, 29(1), 1–27.	Fisher, R. A. (1936). The use of multiple measurements in taxonomic problems. Annals of Eugenics, 7(2), 179–188.
Další názvy	MDS, metric MDS, non-metric MDS, proximity scaling	LDA, Fisher discriminant analysis, discriminant function analysis, canonical discriminant analysis
Příbuzné	5	4
Shrnutí	Multidimensional scaling maps objects described only by pairwise similarities or dissimilarities into a low-dimensional geometric space so that distances in that space reflect the original proximity structure as faithfully as possible. It is widely used to visualize the hidden structure of psychological, social, and behavioral data.	Discriminant analysis finds linear combinations of predictor variables that best separate two or more known groups. It is used both to understand which predictors distinguish the groups and to classify new observations into those groups with minimum error.