Spatially and temporally coherent visual summaries Article Swipe
Jules Wulms
,
Juri Buchmüller
,
Wouter Meulemans
,
K.A.B. Verbeek
,
Bettina Speckmann
·
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1912.00719
YOU?
·
· 2019
· Open Access
·
· DOI: https://doi.org/10.48550/arxiv.1912.00719
When exploring large time-varying data sets, visual summaries are a useful tool to identify time intervals of interest for further consideration. A typical approach is to represent the data elements at each time step in a compact one-dimensional form or via a one-dimensional ordering. Such 1D representations can then be placed in temporal order along a time line. There are two main criteria to assess the quality of the resulting visual summary: spatial quality -- how well does the 1D representation capture the structure of the data at each time step, and stability -- how coherent are the 1D representations over consecutive time steps or temporal ranges? We focus on techniques that create such visual summaries using 1D orderings for entities moving in 2D. We introduce stable techniques based on well-established dimensionality-reduction techniques: Principle Component Analysis, Sammon mapping, and t-SNE. Our Stable Principal Component method is explicitly parametrized for stability, allowing a trade-off between the two quality criteria. We conduct computational experiments that compare our stable methods to various state-of-the-art approaches using a set of well-established quality metrics that capture the two main criteria. These experiments demonstrate that our stable algorithms outperform existing methods on stability, without sacrificing spatial quality or efficiency.
Related Topics
Concepts
Computer science
Principal component analysis
Stability (learning theory)
Dimensionality reduction
Representation (politics)
Curse of dimensionality
Set (abstract data type)
Dimension (graph theory)
Quality (philosophy)
Focus (optics)
Pattern recognition (psychology)
Artificial intelligence
Data set
Component (thermodynamics)
Data mining
Visualization
Algorithm
Machine learning
Mathematics
Political science
Politics
Optics
Epistemology
Programming language
Law
Thermodynamics
Physics
Pure mathematics
Philosophy
Metadata
- Type
- preprint
- Language
- en
- Landing Page
- http://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=917633
- OA Status
- gold
- Cited By
- 3
- References
- 20
- Related Works
- 20
- OpenAlex ID
- https://openalex.org/W2990236248
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W2990236248Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.48550/arxiv.1912.00719Digital Object Identifier
- Title
-
Spatially and temporally coherent visual summariesWork title
- Type
-
preprintOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2019Year of publication
- Publication date
-
2019-12-02Full publication date if available
- Authors
-
Jules Wulms, Juri Buchmüller, Wouter Meulemans, K.A.B. Verbeek, Bettina SpeckmannList of authors in order
- Landing page
-
https://library.tue.nl/csp/dare/LinkToRepository.csp?recordnumber=917633Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
goldOpen access status per OpenAlex
- OA URL
-
https://research.tue.nl/en/publications/5099bab4-d331-49dc-a341-203c300c48b1Direct OA link when available
- Concepts
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Computer science, Principal component analysis, Stability (learning theory), Dimensionality reduction, Representation (politics), Curse of dimensionality, Set (abstract data type), Dimension (graph theory), Quality (philosophy), Focus (optics), Pattern recognition (psychology), Artificial intelligence, Data set, Component (thermodynamics), Data mining, Visualization, Algorithm, Machine learning, Mathematics, Political science, Politics, Optics, Epistemology, Programming language, Law, Thermodynamics, Physics, Pure mathematics, PhilosophyTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
3Total citation count in OpenAlex
- Citations by year (recent)
-
2021: 2, 2019: 1Per-year citation counts (last 5 years)
- References (count)
-
20Number of works referenced by this work
- Related works (count)
-
20Other works algorithmically related by OpenAlex
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