State Clustering

State Clustering is a methodological framework in state aggregation that partitions states into discrete groups based on similarity in observable or latent characteristics, enabling dimensionality reduction and structured analysis in complex systems.

74

Publications

3.7K

Citations

226

Authors

107

Institutions

Publications per year

2017–2026

9

Authors

226

  1. PC
    Philip C. Woodland

    University of Cambridge, United Kingdom

    3 publications · 370 citations

    3

    h-index

  2. AG
    Animesh Garg

    University of Toronto, Canada

    3 publications · 178 citations

    3

    h-index

  3. SY
    S.J. Young

    University of Cambridge, United Kingdom

    3 publications · 370 citations

    3

    h-index

  4. SK
    Sanjay Krishnan

    University of California, Berkeley, United States

    3 publications · 178 citations

    3

    h-index

  5. KG
    Ken Goldberg

    University of California, Berkeley, United States

    3 publications · 178 citations

    3

    h-index

1–5 of 226

Venues

  1. Journal of Peace Research

    1 publications · 44 citations

    1

    h-index

  2. Linear Algebra and its Applications

    1 publications · 11 citations

    1

    h-index

  3. PEDIATRICS

    1 publications · 40 citations

    1

    h-index

  4. Neural Networks

    1 publications · 26 citations

    1

    h-index

  5. Applied Mathematics and Computation

    1 publications · 13 citations

    1

    h-index

1–5