Weighted Multidimensional Scaling is a variant of multidimensional scaling that incorporates differential weights for the dissimilarities or distances in order to account for varying levels of importance or reliability in the data configuration.
50
Publications
2.8K
Citations
123
Authors
66
Institutions
Publications per year
2017–2026
6
Variants
Wmds
Publications
50
1–5 of 50
Authors
123
- AO
4
h-index
- SG
3
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- JA
3
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- NP
3
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- JW
2
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1–5 of 123
Institutions
66
University of Michigan
Ann Arbor, United States
5 h-index
12 publications
2.1K citations
City University of Hong Kong
Hong Kong, Hong Kong
3 h-index
6 publications
228 citations
Universidade do Porto
Porto, Portugal
2 h-index
2 publications
31 citations
University of Electronic Science and Technology of China
Chengdu, China
2 h-index
5 publications
153 citations
Virginia Tech
Blacksburg, United States
2 h-index
13 publications
402 citations
Tianjin University
Tianjin, China
2 h-index
7 publications
307 citations
Universidade Católica Portuguesa
Lisbon, Portugal
2 h-index
4 publications
62 citations
University of Mary Washington
Fredericksburg, United States
2 h-index
2 publications
61 citations
1–8 of 66
Venues
- IEEE Transactions on Signal Processing
3 publications · 194 citations
3
h-index
- Psychometrika
2 publications · 117 citations
2
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- International Journal of Testing
IJT · 2 publications · 50 citations
2
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- TEM Journal
1 publications · 57 citations
1
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- Chalmers Publication Library (Chalmers University of Technology)
Repository · 1 publications · 12 citations
1
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1–5