Distributional Clustering

Distributional Clustering is a computational method that partitions data instances into coherent groups based on the statistical similarity of their distributional representations derived from contextual usage patterns.

72

Publications

8.1K

Citations

178

Authors

78

Institutions

Publications per year

2017–2026

16

Authors

178

  1. NT
    Naftali Tishby

    Hebrew University of Jerusalem, Israel

    5 publications · 1.8K citations

    5

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  2. RB
    Ron Bekkerman

    University of Massachusetts Amherst, United States

    4 publications · 787 citations

    4

    h-index

  3. DL
    Dekang Lin

    University of Alberta, Canada

    3 publications · 2.1K citations

    3

    h-index

  4. RE
    Ran El‐Yaniv

    Technion – Israel Institute of Technology, Israel

    3 publications · 514 citations

    3

    h-index

  5. IS
    Inderjit S. Dhillon

    The University of Texas at Austin, United States

    3 publications · 654 citations

    3

    h-index

1–5 of 178

Venues

  1. Information Sciences

    2 publications · 33 citations

    2

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  2. 1

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  3. Estuarine Coastal and Shelf Science

    1 publications · 52 citations

    1

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  4. Apollo (University of Cambridge)

    Repository · 1 publications · 77 citations

    1

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  5. 1

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1–5