The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
A Survey of Text Clustering Algorithms
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.
Integrity signals
Registry
Cites
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.
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
Finding Groups in Data: An Introduction to Cluster Analysis
Kaufman, L., & Rousseeuw, P. J. (1990) · Wiley Series in Probability and Statistics · doi:10.1002/9780470316801 · Cited by 7,344
(1992) · doi:10.5555/176313.176316 · Cited by 2,892
Cited by
A dirichlet multinomial mixture model-based approach for short text clustering
Yin, J., & Wang, J. (2014) · Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining · doi:10.1145/2623330.2623715 · Cited by 561
MTEB: Massive Text Embedding Benchmark
Muennighoff, N., Tazi, N., Magne, L., & Reimers, N. (2023) · Proceedings of the 17th Conference of the European Chapter of the Association for Computational Linguistics · doi:10.18653/v1/2023.eacl-main.148 · Cited by 548
Wang, Q., Li, B., & Singh, P. V. (2018) · Information Systems Research · doi:10.1287/isre.2017.0735 · Cited by 162
Sousa, L., de Mello, R., Cedrim, D., Garcia, A., Missier, P., Uchôa, A., Oliveira, A., & Romanovsky, A. (2018) · Information Systems · doi:10.1016/j.is.2018.02.003 · Cited by 39
Muller, A. E., Ames, H. M. R., Jardim, P. S. J., & Rose, C. J. (2022) · Research Synthesis Methods · doi:10.1002/jrsm.1541 · Cited by 21
Metadata
- Authors
- Aggarwal, C. C., & Zhai, C.
- Venue
- Mining Text Data
- Publisher
- Springer US
- Published
- 2012
- Pages
- 77-128
- OpenAlex
- W40976687
- Cited by
- 581
- References
- 2
- FWCI
- 57.55
- Type
- book chapter
- 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: A Survey of Text Clustering Algorithms. https://app.cochat.ai/papers/10.1007/978-1-4614-3223-4_4
- The paper
- Aggarwal, C. C., & Zhai, C. (2012). A Survey of Text Clustering Algorithms. Mining Text Data. https://doi.org/10.1007/978-1-4614-3223-4_4
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.
