Fuzzy Spatial Clustering

Fuzzy Spatial Clustering is a spatial clustering method that assigns geographic data points to clusters probabilistically, allowing partial membership in multiple clusters based on proximity and uncertainty, in contrast to crisp partitioning that enforces exclusive cluster affiliation.

168

Publications

8.5K

Citations

565

Authors

293

Institutions

Publications per year

2017–2026

68

Authors

565

  1. PD
    Pierpaolo D’Urso

    Sapienza University of Rome, Italy

    8 publications · 285 citations

    8

    h-index

  2. AW
    Alan Wee‐Chung Liew

    Griffith University, Australia

    4 publications · 699 citations

    4

    h-index

  3. LD
    Livia De Giovanni

    Sapienza University of Rome, Italy

    4 publications · 95 citations

    4

    h-index

  4. LH
    Lê Hoàng Sơn

    Vietnam National University, Hanoi, Vietnam

    4 publications · 190 citations

    4

    h-index

  5. BI
    Bahrul Ilmi Nasution

    Badan Pusat Statistik, Indonesia

    3 publications · 121 citations

    3

    h-index

1–5 of 565

Venues

  1. IEEE Transactions on Fuzzy Systems

    TFS · 5 publications · 289 citations

    5

    h-index

  2. Applied Soft Computing

    5 publications · 188 citations

    5

    h-index

  3. Spatial Statistics

    4 publications · 141 citations

    4

    h-index

  4. Environment and Planning B Planning and Design

    3 publications · 107 citations

    3

    h-index

  5. 3

    h-index

1–5