The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
New indices for cluster validity assessment
Overview
The claims and statistics of this paper haven’t been checked yet.
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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
A new look at the statistical model identification
Akaike, H. (1974) · IEEE Transactions on Automatic Control · doi:10.1109/tac.1974.1100705 · Cited by 51,879
Estimating the Dimension of a Model
Schwarz, G. (1978) · The Annals of Statistics · doi:10.1214/aos/1176344136 · Cited by 47,033
Data mining: concepts and techniques
(2012) · Choice Reviews Online · doi:10.5860/choice.49-3305 · Cited by 28,531
Jain, A. K., Murty, M. N., & Flynn, P. J. (1999) · ACM Computing Surveys · doi:10.1145/331499.331504 · Cited by 13,199
Davies, D. L., & Bouldin, D. W. (1979) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/tpami.1979.4766909 · Cited by 9,145
A Fuzzy Relative of the ISODATA Process and Its Use in Detecting Compact Well-Separated Clusters
Dunn, J. C. (1973) · Journal of Cybernetics · doi:10.1080/01969727308546046 · Cited by 5,049
Data Mining - Concepts and Techniques.
Perner, P. (2002) · Künstliche Intell. · Cited by 4,886
A dendrite method for cluster analysis
Caliński, T., & Harabasz, J. (1974) · Communications in Statistics · doi:10.1080/03610927408827101 · Cited by 4,480
A validity measure for fuzzy clustering
Xie, X. L., & Beni, G. (1991) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.85677 · Cited by 3,385
Data Mining Techniques: For Marketing, Sales, and Customer Support
Berry, M. J., & Linoff, G. S. (1997) · University of Maribor digital library (University of Maribor) · Cited by 1,736
Cited by
A review of electric load classification in smart grid environment
Zhou, K.-L., Yang, S.-L., & Shen, C. (2013) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2013.03.023 · Cited by 254
Metadata
- Authors
- Kim, M., & Ramakrishna, R. S.
- Venue
- Pattern Recognition Letters
- Publisher
- Elsevier BV
- Published
- 2005-11
- Volume
- 26
- Issue
- 15
- Pages
- 2353-2363
- ISSN
- 0167-8655 (ISSN-L)
- OpenAlex
- W1988497044
- Cited by
- 270
- References
- 17
- FWCI
- 7.56
- 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 ›
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: New indices for cluster validity assessment. https://app.cochat.ai/papers/10.1016/j.patrec.2005.04.007
- The paper
- Kim, M., & Ramakrishna, R. S. (2005). New indices for cluster validity assessment. Pattern Recognition Letters. https://doi.org/10.1016/j.patrec.2005.04.007
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.
