Cited by 74Advanced Clustering Algorithms ResearchBayesian Methods and Mixture ModelsData Mining and Machine Learning Applications

Probabilistic D-Clustering

Open access
Ben-Israel, Adi, Iyigun, Cem·2008·Journal of Classification

Integrity signals

Registry

Crossref · 10.1007/s00357-008-9002-z

Cites

17 of 17 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

Flagged first, then by citations

Cited by

Authors
Ben-Israel, A., & Iyigun, C.
Affiliations
Rutgers, The State University of New Jersey (US)
Corresponding author
Ben-Israel, Adi
Venue
Journal of Classification
Published
2008-06
Volume
25
Issue
1
Pages
5-26
ISSN
  • 0176-4268 (ISSN-L)
  • 1432-1343
OpenAlex
W2056305270
Cited by
74
References
17
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 5 · 2022: 3 · 2021: 4 · 2020: 4 · 2019: 5 · 2018: 2 · 2017: 1 · 2016: 7 · 2015: 4 · 2014: 5 · 2013: 6 · 2012: 2
FWCI
8.99
Type
journal article
Language
en
Open access
Licence
Locations
  • Journal of Classification (publishedVersion)
  • Rutgers University Community Repository (Rutgers University) (submittedVersion)
  • RePEc: Research Papers in Economics (submittedVersion)
  • OpenMETU (Middle East Technical University) (submittedVersion, cc-by-nc-nd)
Topics
  • Physical Sciences › Computer Science › Artificial Intelligence › Advanced Clustering Algorithms Research
  • Physical Sciences › Computer Science › Artificial Intelligence › Bayesian Methods and Mixture Models
  • Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
Keywords
probabilistic clustering, cluster centers, cluster membership probability, Mahalanobis distance

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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