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Non-metric multidimensional scaling

Fig. 38.6. Three-dimensional configuration according to a non-metric multidimensional scaling applied to 24 types of bread differing in appearance as assessed by 12 panellists. Fig. 38.6. Three-dimensional configuration according to a non-metric multidimensional scaling applied to 24 types of bread differing in appearance as assessed by 12 panellists.
Kruskal, J. B. (1964) Non-metric multidimensional scaling A numerical method. Psychometrika 29, 115-129. [Pg.45]

Taguchi Y, Oono Y. Relational patterns of gene expression via non-metric multidimensional scaling analysis. Bioinformatics 2005 21 730-40. [Pg.140]

Alternate projection methods aim to reduce the data dimensionality by optimizing the representation in the lower-dimension space so that the distances between points in the projected space are as similar as possible to the distances between the corresponding points in the original space. We will describe here a class of methods known as multidimensional scaling (MDS). The aim of these methods is to project data from a pseudo-metric space (i.e., one characterized by a dissimilarity measure) onto a metric space. Such methods are especially useful for preprocessing non-metric data in order to use algorithms valid only for metric input. [Pg.253]


See other pages where Non-metric multidimensional scaling is mentioned: [Pg.430]    [Pg.147]    [Pg.430]    [Pg.147]    [Pg.159]    [Pg.159]    [Pg.78]    [Pg.218]    [Pg.218]   
See also in sourсe #XX -- [ Pg.163 ]

See also in sourсe #XX -- [ Pg.163 ]




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Metric multidimensional scaling

Non-metric multidimensional

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