Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 349

The DOI matches its Crossref record; 271 of the 271 references it cites were found in a registry or an index.

Clustering Algorithms in Biomedical Research: A Review

Xu, Rui, Wunsch, Donald C.·2010·IEEE Reviews in Biomedical Engineering

Abstract

Applications of clustering algorithms in biomedical research are ubiquitous, with typical examples including gene expression data analysis, genomic sequence analysis, biomedical document mining, and MRI image analysis. However, due to the diversity of cluster analysis, the differing terminologies, goals, and assumptions underlying different clustering algorithms can be daunting. Thus, determining the right match between clustering algorithms and biomedical applications has become particularly important. This paper is presented to provide biomedical researchers with an overview of the status quo of clustering algorithms, to illustrate examples of biomedical applications based on cluster analysis, and to help biomedical researchers select the most suitable clustering algorithms for their own applications.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/rbme.2010.2083647

Cites

271 of 271 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 271 references

Cited by

See all 349

Metadata

Authors
Xu, R., & Wunsch, D. C.
Venue
IEEE Reviews in Biomedical Engineering
Published
2010
Volume
3
Pages
120-154
ISSN
  • 1937-3333 (ISSN-L)
  • 1941-1189
OpenAlex
W2135964318
Cited by
349
References
271
FWCI
9.52
Type
journal article
Language
en
Open access
closed

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 ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Clustering Algorithms in Biomedical Research: A Review. https://app.cochat.ai/papers/10.1109/rbme.2010.2083647
The paper
Xu, R., & Wunsch, D. C. (2010). Clustering Algorithms in Biomedical Research: A Review. IEEE Reviews in Biomedical Engineering. https://doi.org/10.1109/rbme.2010.2083647

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.