Dimensional Embedding
Dimensional Embedding is a multivariate data visualization technique that maps high-dimensional data points into a lower-dimensional space while preserving inherent structural relationships among the data.
26
Publications
1.2K
Citations
81
Authors
42
Institutions
Publications per year
2017–2026
12
26
Direct test for determinism in a time series
Daniel T. Kaplan, Leon Glass · Physical Review Letters · 1992 · 384 citations
1–5 of 26
81
1
h-index
1
h-index
1
h-index
University of North Carolina at Charlotte, United States
1 publications · 25 citations
1
h-index
1
h-index
1–5 of 81
42

University of Trento
Trento, Italy
2 h-index
3 publications
75 citations
Institut de Physique Théorique
Gif-sur-Yvette, France
2 h-index
3 publications
137 citations
The University of Texas at San Antonio
San Antonio, United States
1 h-index
4 publications
64 citations

Centre National de la Recherche Scientifique
Paris, France
1 h-index
1 publications
69 citations
ETH Zurich
Zurich, Switzerland
1 h-index
2 publications
86 citations
Centre for Quantum Computation and Communication Technology
Sydney, Australia
1 h-index
1 publications
19 citations

Beijing Institute of Technology
Beijing, China
1 h-index
3 publications
57 citations
Blue Marble Space
Seattle, United States
1 h-index
4 publications
72 citations
1–8 of 42
Repository · 2 publications · 23 citations
2
h-index
2 publications · 53 citations
2
h-index
1 publications · 16 citations
1
h-index
PRA · 1 publications · 34 citations
1
h-index
1 publications · 43 citations
1
h-index
1–5