|
gptkbp:instanceOf
|
statistical technique
|
|
gptkbp:alternativeName
|
gptkb:MDS
|
|
gptkbp:application
|
ecology
genomics
psychology
social sciences
bioinformatics
marketing research
|
|
gptkbp:criteria
|
least squares
stress function
Kruskal's stress
Shepard diagram
|
|
gptkbp:developedBy
|
1950s
|
|
gptkbp:field
|
gptkb:machine_learning
psychometrics
statistics
|
|
https://www.w3.org/2000/01/rdf-schema#label
|
Multidimensional scaling
|
|
gptkbp:input
|
dissimilarity matrix
|
|
gptkbp:notableContributor
|
gptkb:Joseph_B._Kruskal
gptkb:Roger_N._Shepard
J. Douglas Carroll
Susan M. Schiffman
|
|
gptkbp:output
|
geometric representation
low-dimensional embedding
|
|
gptkbp:relatedTo
|
gptkb:principal_component_analysis
gptkb:Isomap
gptkb:factor_analysis
gptkb:t-SNE
|
|
gptkbp:software
|
gptkb:MATLAB
gptkb:SPSS
R
Python (scikit-learn)
|
|
gptkbp:supportsAlgorithm
|
iterative optimization
|
|
gptkbp:usedFor
|
gptkb:data_visualization
exploratory data analysis
dimensionality reduction
|
|
gptkbp:variant
|
classical MDS
metric MDS
non-metric MDS
|
|
gptkbp:bfsParent
|
gptkb:MDS
|
|
gptkbp:bfsLayer
|
6
|