The DOI matches its Crossref record.
Fuzzy clustering with a fuzzy covariance matrix
Abstract
A class of fuzzy ISODATA clustering algorithms has been developed previously which includes fuzzy means. This class of algorithms is generalized to include fuzzy covariances. The resulting algorithm closely resembles maximum likelihood estimation of mixture densities. It is argued that use of fuzzy covariances is a natural approach to fuzzy clustering. Experimental results are presented which indicate that more accurate clustering may be obtained by using fuzzy covariances.
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
Cited by
Unsupervised optimal fuzzy clustering
Gath, I., & Geva, A. B. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192473 · Cited by 1,640
CEDD: Color and Edge Directivity Descriptor: A Compact Descriptor for Image Indexing and Retrieval
Chatzichristofis, S. A., & Boutalis, Y. S. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-79547-6_30 · Cited by 459
Bioreactor monitoring with spectroscopy and chemometrics: a review
Lourenço, N. D., Lopes, J. A., Almeida, C. F., Sarraguça, M. C., & Pinheiro, H. M. (2012) · Analytical and Bioanalytical Chemistry · doi:10.1007/s00216-012-6073-9 · Cited by 275
Metadata
- Authors
- Gustafson, D., & Kessel, W.
- Venue
- 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes
- Publisher
- IEEE
- Published
- 1978-01
- Pages
- 761-766
- OpenAlex
- W1987801991
- Cited by
- 1,978
- References
- 0
- FWCI
- 1.16
- Type
- conference paper
- 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: Fuzzy clustering with a fuzzy covariance matrix. https://app.cochat.ai/papers/10.1109/cdc.1978.268028
- The paper
- Gustafson, D., & Kessel, W. (1978). Fuzzy clustering with a fuzzy covariance matrix. 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes. https://doi.org/10.1109/cdc.1978.268028
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.
