Concepedia

Probabilistic Document Clustering

Probabilistic Document Clustering is a document clustering paradigm that models documents as random variables generated from underlying probability distributions over latent topics or clusters, thereby distinguishing itself from non-probabilistic methods by formalizing cluster assignment and document representation through explicit statistical generative processes.

61

Publications

6.4K

Citations

160

Authors

115

Institutions

Publications per year

2017–2026

8

Parents

Publications

61

The text mining handbook: advanced approaches in analyzing unstructured data

Choice Reviews Online · 2007 · 1.6K citations

, , +17

A classification EM algorithm for clustering and two stochastic versions

Gilles Celeux, Gérard Govaert · Computational Statistics & Data Analysis · 1992 · 764 citations · Full text

, , +13

Identifying topical authorities in microblogs

Aditya Pal, Scott Counts · 2011 · 350 citations

, , +10

An evaluation of document clustering and topic modelling in two online social networks: Twitter and Reddit

Stephan A. Curiskis, Barry Drake, Thomas R. Osborn et al. · Information Processing & Management · 2019 · 304 citations

, , +16

Clustering scientific documents with topic modeling

Chyi-Kwei Yau, Alan L. Porter, Nils C. Newman et al. · Scientometrics · 2014 · 238 citations

, , +13

1–5 of 61

Authors

160

  1. MS
    Mehran Sahami

    Stanford University, United States

    2 publications · 129 citations

    2

    h-index

  2. PS
    Philip S. Yu

    University of Illinois Chicago, United States

    2 publications · 71 citations

    2

    h-index

  3. SG
    Scott Gaffney

    University of California, Irvine, United States

    2 publications · 343 citations

    2

    h-index

  4. NB
    Nizar Bouguila

    Concordia University, Canada

    2 publications · 153 citations

    2

    h-index

  5. PS
    Padhraic Smyth

    University of California, Irvine, United States

    2 publications · 343 citations

    2

    h-index

1–5 of 160

Institutions

115

  1. Centre National de la Recherche Scientifique

    Paris, France

    4 h-index

    10 publications

    1.4K citations

  2. University of Illinois Chicago

    Chicago, United States

    2 h-index

    3 publications

    106 citations

  3. Concordia University

    Montreal, Canada

    2 h-index

    4 publications

    306 citations

  4. Microsoft (United States)

    Redmond, United States

    2 h-index

    2 publications

    421 citations

  5. Carnegie Mellon University

    Pittsburgh, United States

    2 h-index

    4 publications

    408 citations

  6. Stanford University

    Stanford, United States

    2 h-index

    4 publications

    122 citations

  7. University College London

    London, United Kingdom

    2 h-index

    2 publications

    200 citations

  8. University of Milano-Bicocca

    Milan, Italy

    2 h-index

    5 publications

    79 citations

1–8 of 115

Venues

  1. Pattern Recognition

    4 publications · 268 citations

    4

    h-index

  2. Information Processing & Management

    4 publications · 450 citations

    4

    h-index

  3. IEEE Transactions on Knowledge and Data Engineering

    TKDE · 3 publications · 69 citations

    3

    h-index

  4. Computational Statistics & Data Analysis

    CSDA · 2 publications · 927 citations

    2

    h-index

  5. Expert Systems with Applications

    2 publications · 158 citations

    2

    h-index

1–5