Cluster Analysis For Segmentation

Cluster Analysis for Segmentation is a statistical classification method that partitions a population into distinct subgroups based on attitudinal similarities, distinguishing itself by identifying naturally occurring clusters in consumer data to enable targeted segmentation strategies.

435

Publications

21.9K

Citations

1.3K

Authors

532

Institutions

Publications per year

2017–2026

175

Authors

1.3K

  1. FZ
    Feng Zhao

    Xi’an University of Posts and Telecommunications, China

    6 publications · 378 citations

    6

    h-index

  2. SD
    Sara Dolničar

    The University of Queensland, Australia

    5 publications · 361 citations

    5

    h-index

  3. RK
    R.J. Kuo

    National Taiwan University of Science and Technology, Taiwan

    4 publications · 174 citations

    4

    h-index

  4. CQ
    Cai Qiuru

    Jiangsu University of Technology, China

    3 publications · 52 citations

    3

    h-index

  5. FL
    Friedrich Leisch

    BOKU University, Austria

    3 publications · 227 citations

    3

    h-index

1–5 of 1.3K

Venues

  1. Pattern Recognition

    10 publications · 1.9K citations

    10

    h-index

  2. British Food Journal

    8 publications · 344 citations

    8

    h-index

  3. Expert Systems with Applications

    8 publications · 489 citations

    8

    h-index

  4. Applied Soft Computing

    8 publications · 596 citations

    8

    h-index

  5. Journal of Marketing Research

    7 publications · 453 citations

    7

    h-index

1–5