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

Authors

212

  1. SB
    Sanjeev Bedi

    University of Waterloo, Canada

    3 publications · 241 citations

    3

    h-index

  2. BT
    B. T. Draine

    Princeton University, United States

    2 publications · 113 citations

    2

    h-index

  3. JL
    Ja‐Chen Lin

    National Yang Ming Chiao Tung University, Taiwan

    2 publications · 54 citations

    2

    h-index

  4. WS
    Wan Soo Yun

    Korea Research Institute of Standards and Science, South Korea

    2 publications · 615 citations

    2

    h-index

  5. AT
    Alfred Trautwein

    Saarland University, Germany

    2 publications · 49 citations

    2

    h-index

1–5 of 212

Venues

  1. The Astrophysical Journal

    ApJ · 5 publications · 276 citations

    5

    h-index

  2. The Journal of Chemical Physics

    4 publications · 171 citations

    4

    h-index

  3. Zeitschrift für Naturforschung B

    2 publications · 49 citations

    2

    h-index

  4. Journal of the American Chemical Society

    JACS · 2 publications · 496 citations

    2

    h-index

  5. Geophysical Research Letters

    2 publications · 79 citations

    2

    h-index

1–5