Similarity-based Classification

Similarity-Based Classification is a taxonomic classification method that groups entities based on their pairwise similarities, distinguished from other classification approaches by its reliance on measurable similarity metrics rather than predefined categorical hierarchies or evolutionary relationships.

272

Publications

16.4K

Citations

662

Authors

324

Institutions

Publications per year

2017–2026

84

Authors

662

  1. PL
    Pasi Luukka

    Lappeenranta-Lahti University of Technology, Finland

    7 publications · 269 citations

    7

    h-index

  2. RM
    Robert M. Nosofsky

    Indiana University Bloomington, United States

    5 publications · 1.3K citations

    5

    h-index

  3. MR
    Maya R. Gupta

    University of Washington, United States

    4 publications · 363 citations

    4

    h-index

  4. WD
    Włodzisław Duch

    Nicolaus Copernicus University, Poland

    3 publications · 94 citations

    3

    h-index

  5. SP
    Surapati Pramanik

    Jadavpur University, India

    3 publications · 129 citations

    3

    h-index

1–5 of 662

Venues

  1. Expert Systems with Applications

    5 publications · 166 citations

    5

    h-index

  2. Pattern Recognition

    5 publications · 395 citations

    5

    h-index

  3. Information Sciences

    4 publications · 110 citations

    5

    h-index

  4. Journal of Intelligent & Fuzzy Systems

    4 publications · 280 citations

    4

    h-index

  5. Memory & Cognition

    4 publications · 304 citations

    4

    h-index

1–5