Principal Axis Alignment
Principal Axis Alignment is a methodological construct in multivariate analysis that identifies and aligns the coordinate system of a dataset with its directions of maximal variance, thereby facilitating dimensionality reduction and pattern recognition by orienting the principal components along the axes of greatest data spread.
68
Publications
3.5K
Citations
212
Authors
109
Institutions
Publications per year
2017–2026
5
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68
Perception of Animacy from the Motion of a Single Object
Patrice D. Tremoulet, Jacob Feldman · Perception · 2000 · 415 citations
Medicine, Psychology, Vision Science +16
Single‐Crystalline Barium Titanate Nanowires
Jeffrey J. Urban, Jonathan E. Spanier, L. Ouyang et al. · Advanced Materials · 2003 · 168 citations
Natural Sciences, Materials Engineering, Materials Science +14
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Korea Research Institute of Standards and Science, South Korea
2 publications · 615 citations
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1–5 of 212
109

University of Waterloo
Waterloo, Canada
3 h-index
7 publications
546 citations
Princeton University
Princeton, United States
2 h-index
3 publications
159 citations

National Yang Ming Chiao Tung University
Hsinchu, Taiwan
2 h-index
4 publications
90 citations

Western University
London, Canada
2 h-index
5 publications
106 citations

Saarland University
Saarbrücken, Germany
2 h-index
7 publications
188 citations
California Institute of Technology
Pasadena, United States
2 h-index
4 publications
91 citations

Carnegie Institution for Science
Washington, United States
2 h-index
2 publications
80 citations

Lund University
Lund, Sweden
2 h-index
5 publications
90 citations
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ApJ · 5 publications · 276 citations
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4 publications · 171 citations
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2 publications · 49 citations
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JACS · 2 publications · 496 citations
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2 publications · 79 citations
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