Vector Space Clustering

Vector Space Clustering is a clustering methodology that organizes texts into groups based on their relative positions in a multidimensional vector space, where each dimension corresponds to a textual feature and similarity is measured geometrically.

74

Publications

3.3K

Citations

222

Authors

106

Institutions

Publications per year

2017–2026

20

Authors

222

  1. WS
    Wei Song

    North China University of Technology, China

    3 publications · 56 citations

    3

    h-index

  2. SC
    Soon Cheol Park

    Chung-Ang University, South Korea

    2 publications · 40 citations

    2

    h-index

  3. CG
    Clayton Greenberg

    Saarland University, Germany

    2 publications · 41 citations

    2

    h-index

  4. AS
    Asad Sayeed

    Saarland University, Germany

    2 publications · 41 citations

    2

    h-index

  5. VD
    Vera Demberg

    Saarland University, Germany

    2 publications · 41 citations

    2

    h-index

1–5 of 222

Venues

  1. Knowledge and Information Systems

    3 publications · 136 citations

    3

    h-index

  2. PubMed

    Repository · 2 publications · 75 citations

    2

    h-index

  3. IEEE Access

    2 publications · 133 citations

    2

    h-index

  4. 2

    h-index

  5. 2

    h-index

1–5