Concepedia

Scalable Document Clustering

Scalable Document Clustering is a document clustering paradigm that belongs to the class of clustering methodologies and is specifically characterized by its ability to efficiently and effectively group large-scale document collections while maintaining computational tractability and clustering quality as data volume increases.

63

Publications

6K

Citations

174

Authors

92

Institutions

Publications per year

2017–2026

6

Parents

Publications

63

Web-scale k-means clustering

D. Sculley · 2010 · 1.1K citations

, , +17

Cure: an efficient clustering algorithm for large databases

Sudipto Guha, Rajeev Rastogi, Kyuseok Shim · Information Systems · 2001 · 945 citations

, , +12

An Entropy Weighting k-Means Algorithm for Subspace Clustering of High-Dimensional Sparse Data

Liping Jing, Michael K. Ng, Joshua Zhexue Huang · IEEE Transactions on Knowledge and Data Engineering · 2007 · 623 citations

, , +17

Hierarchical Document Clustering Using Frequent Itemsets

Benjamin C. M. Fung, Ke Wang, Martin Ester · 2003 · 469 citations · Full text

, , +13

Scalability for clustering algorithms revisited

Fredrik Farnstrom, James F. Lewis, Charles Elkan · ACM SIGKDD Explorations Newsletter · 2000 · 248 citations · Full text

, , +12

1–5 of 63

Authors

174

  1. IY
    Illhoi Yoo

    Drexel University, United States

    3 publications · 90 citations

    3

    h-index

  2. ZA
    Zahid Ansari

    Aligarh Muslim University, India

    2 publications · 38 citations

    2

    h-index

  3. XH
    Xiaohua Hu

    Drexel University, United States

    2 publications · 74 citations

    2

    h-index

  4. LC
    Lihui Chen

    Nanyang Technological University, Singapore

    2 publications · 68 citations

    2

    h-index

  5. AB
    Arindam Banerjee

    University of Minnesota, United States

    2 publications · 124 citations

    2

    h-index

1–5 of 174

Institutions

92

  1. Drexel University

    Philadelphia, United States

    4 h-index

    7 publications

    225 citations

  2. Nanyang Technological University

    Singapore, Singapore

    2 h-index

    5 publications

    151 citations

  3. Zhejiang University of Technology

    Hangzhou, China

    2 h-index

    2 publications

    68 citations

  4. Jeonbuk National University

    Jeonju, South Korea

    2 h-index

    4 publications

    84 citations

  5. The University of Texas at Austin

    Austin, United States

    2 h-index

    4 publications

    248 citations

  6. Queensland University of Technology

    Brisbane, Australia

    2 h-index

    6 publications

    93 citations

  7. University of Hong Kong

    Pok Fu Lam, Hong Kong

    2 h-index

    6 publications

    2K citations

  8. Stanford University

    Stanford, United States

    2 h-index

    4 publications

    1.4K citations

1–8 of 92

Venues

  1. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 4 publications · 882 citations

    4

    h-index

  2. 2

    h-index

  3. 1

    h-index

  4. The Journal of Supercomputing

    1 publications · 30 citations

    1

    h-index

  5. 1

    h-index

1–5