Robust Scaling

Robust Scaling is a feature transformation technique that normalizes numerical data by subtracting the median and dividing by the interquartile range, thereby reducing the influence of outliers compared to standardization methods based on mean and standard deviation.

57

Publications

3.3K

Citations

153

Authors

106

Institutions

Publications per year

2017–2026

14

Authors

153

  1. RS
    Robin Sibson

    University of Bath, United Kingdom

    3 publications · 434 citations

    3

    h-index

  2. SD
    Sara de la Rosa de Sáa

    Universidad de Oviedo, Spain

    2 publications · 22 citations

    2

    h-index

  3. SK
    Sadhan K. Adhikari

    Universidade Estadual Paulista (Unesp), Brazil

    2 publications · 40 citations

    2

    h-index

  4. BS
    Beatriz Sinova

    Universidad de Oviedo, Spain

    2 publications · 22 citations

    2

    h-index

  5. ZC
    Zhongmin Cui

    ACT, United States

    2 publications · 54 citations

    2

    h-index

1–5 of 153

Venues

  1. Physical Review Letters

    PRL · 3 publications · 697 citations

    3

    h-index

  2. 2

    h-index

  3. Journal of Statistical Computation and Simulation

    JSCS · 2 publications · 40 citations

    2

    h-index

  4. Applied Psychological Measurement

    2 publications · 54 citations

    2

    h-index

  5. Journal of Marketing Research

    2 publications · 52 citations

    2

    h-index

1–5