Cluster-based Preference Mapping

Cluster-Based Preference Mapping is a preference mapping method that clusters respondents into homogeneous groups based on similarity in preferences and derives distinct spatial representations for each cluster to reveal differential positioning of products or stimuli in multidimensional space.

13

Publications

433

Citations

37

Authors

19

Institutions

Publications per year

2017–2026

2

Authors

37

  1. MK
    Murali Krishna Medudula

    Indian Institute of Technology Delhi, India

    1 publications · 10 citations

    1

    h-index

  2. DP
    Dave Plaehn

    1 publications · 22 citations

    1

    h-index

  3. SY
    Shuyuan Yang

    Xidian University, China

    1 publications · 53 citations

    1

    h-index

  4. AS
    Arbuda Sharma

    Indian Institute of Technology Delhi, India

    1 publications · 10 citations

    1

    h-index

  5. RY
    Renoo Yenket

    Kansas State University, United States

    1 publications · 19 citations

    1

    h-index

1–5 of 37

Venues

  1. Food Quality and Preference

    2 publications · 77 citations

    2

    h-index

  2. Future Generation Computer Systems

    FGCS · 1 publications · 60 citations

    1

    h-index

  3. Expert Systems with Applications

    1 publications · 31 citations

    1

    h-index

  4. Journal of Euromarketing

    1 publications · 14 citations

    1

    h-index

  5. British Food Journal

    1 publications · 44 citations

    1

    h-index

1–5