Feature Selection For Segmentation

Feature Selection for Segmentation is a methodological process within segmentation analysis that identifies and prioritizes the most discriminative variables or attributes to enhance the accuracy and efficiency of partitioning entities into homogeneous subgroups.

74

Publications

3.6K

Citations

266

Authors

133

Institutions

Publications per year

2017–2026

25

Authors

266

  1. YL
    Yuyu Liang

    Victoria University of Wellington, New Zealand

    2 publications · 47 citations

    2

    h-index

  2. HC
    Huiling Chen

    Wenzhou University, China

    2 publications · 299 citations

    2

    h-index

  3. MF
    Michael Farmer

    Michigan State University, United States

    2 publications · 92 citations

    2

    h-index

  4. MA
    Muhammad Attique Khan

    HITEC University, Pakistan

    2 publications · 617 citations

    2

    h-index

  5. NB
    Nizar Bouguila

    Concordia University, Canada

    2 publications · 79 citations

    2

    h-index

1–5 of 266

Venues

  1. Pattern Recognition Letters

    3 publications · 95 citations

    3

    h-index

  2. Expert Systems with Applications

    3 publications · 99 citations

    3

    h-index

  3. Neurocomputing

    2 publications · 245 citations

    2

    h-index

  4. Information Fusion

    2 publications · 84 citations

    2

    h-index

  5. Pattern Recognition

    2 publications · 404 citations

    2

    h-index

1–5