multidimensional scaling , MDS (skrót)

These methods all fall under the broader class of metric multidimensional scaling.

Data clustering and multidimensional scaling are two such methods.

Kendall (1971) applied multidimensional scaling to the cemetery data of Münsingen.

Figure 10-5 Use of multidimensional scaling on benthic data to ascertain stream classification.

For calculating the match values statistical methods are used as for example multidimensional scaling.

Points in a plot can be moved interactively, e.g. to gauge results from multidimensional scaling.

Visualization tools: multidimensional scaling, heatmaps, correspondence analysis graphic, proximity plot.

Multidimensional scaling model for communication research.

Multidimensional scaling (a statistical technique used when distances are measured with random errors)

Relational perspective map is a multidimensional scaling algorithm.

He was among the first to apply multidimensional scaling to the study of cognitive representations of social interaction episodes in memory.

Kruskal has worked on well-quasi-orderings and multidimensional scaling.

Multidimensional scaling analysis of selected European nations showed that Slovak populations do not cluster together.

The low-dimensional embedding is finally obtained by application of multidimensional scaling on the learned inner product matrix.

In statistics, Kruskal's most influential work is his seminal contribution to the formulation of multidimensional scaling.

Application of multidimensional scaling of ratings of foods for obese and normal weight individuals.

Sparse multidimensional scaling using landmark points.

Techniques such as multidimensional scaling and hierarchical clustering can then be used to visualize the semantic organization of the conceptual space.

An extension of metric multidimensional scaling, in which the target space is an arbitrary smooth non-Euclidean space.

Multidimensional scaling in Riemann space.

Multidimensional scaling (MDS) is a crossbred from psychology mathematics.

Multidimensional scaling comprises various algorithms to determine a set of synthetic variables that best represent the pairwise distances between records.

Multidimensional Scaling of some Lexicostatistical Data.

Isomap is a combination of the Floyd-Warshall algorithm with classic Multidimensional Scaling.

Various statistical analysis functions are also available such as co-occurrence network, multidimensional scaling, hierarchical cluster analysis, and correspondence analysis of words.