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Data · dataset · 2022

Supplemental Material for Uncertainty-Aware Multidimensional Scaling

Listed in DaRUS

This dataset contains the supplemental material for "Uncertainty-Aware Multidimensional Scaling".

Description

Uncertainty-aware multidimensional scaling (UAMDS) is a nonlinear dimensionality reduction technique for sets of random vectors. This dataset consists of a PDF document that contains a detailed mathematical derivation for the normal distribution UAMDS algorithm, and additional visualizations.

Links

Where it is published

Catalogue records · 1

Topics

Inferred from text
Statistics 68%
Provenance · 1 source records, 9 field assertions
SourceKeyLast seenRaw
DaRUSdoi:10.18419/DARUS-310411 d agoJSON v1
FieldAssertionExtractorEvidence
concepts[field].anzsrc:group:4905enrichment · darus uni stuttgart detaxonomy-embedding@1.1.0title+keywords+description (68%)
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