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Data · dataset · 2022

Source Code for Uncertainty-Aware Multidimensional Scaling

Listed in DaRUS

This dataset contains the source code for the uncertainty-aware multidimensional scaling (UAMDS) algorithm implemented in the Java programming language.

Description

UAMDS is a nonlinear dimensionality reduction technique for sets of random vectors. The implemented UAMDS model allows to project a set of multivariate normal distributions to low-dimensional space, e.g. 1D, 2D or 3D for visualization.

This dataset only contains the core components for performing UAMDS without any accompanying visualization techniques.

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Where it is published

Catalogue records · 1

Topics

Inferred from text
Statistics 70%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-299513 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4905enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (70%)
concepts[field].dataverse_subject:computer-and-information-sciencesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
concepts[field].local:field:mathematics-statisticsmapping · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/subjects
created_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
descriptionsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/description
publication_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
titlesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0/name
updated_datesource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0
version_labelsource · darus uni stuttgart deconnector:darus_uni_stuttgart_de@1.0.0