Count Encoding

Count Encoding is a categorical encoding technique that replaces each category with the frequency count of its occurrences in the dataset, distinguishing it from other encoding methods by representing categories based on their cardinality within the sample.

5

Publications

121

Citations

15

Authors

8

Institutions

Publications per year

2017–2026

5

Authors

15

  1. YS
    Yonghang Shen

    Zhejiang University, China

    1 publications · 13 citations

    1

    h-index

  2. VA
    V Asha

    1 publications · 23 citations

    1

    h-index

  3. GB
    Grant Bruer

    University of Tennessee at Knoxville, United States

    1 publications · 52 citations

    1

    h-index

  4. XG
    Xilun Gao

    State Key Laboratory of Modern Optical Instruments

    1 publications · 13 citations

    1

    h-index

  5. HW
    Hanxuan Wu

    Zhejiang University, China

    1 publications · 13 citations

    1

    h-index

1–5 of 15

Venues

  1. Cognition

    1 publications · 17 citations

    1

    h-index

  2. 1

    h-index

  3. Journal of the Optical Society of America A

    1 publications · 13 citations

    1

    h-index

  4. 1

    h-index

1–4