The DOI matches its Crossref record; 22 of the 22 references it cites were found in a registry or an index.
Validity-guided (re)clustering with applications to image segmentation
Abstract
When clustering algorithms are applied to image segmentation, the goal is to solve a classification problem. However, these algorithms do not directly optimize classification duality. As a result, they are susceptible to two problems: 1) the criterion they optimize may not be a good estimator of "true" classification quality, and 2) they often admit many (suboptimal) solutions. This paper introduces an algorithm that uses cluster validity to mitigate problems 1 and 2. The validity-guided (re)clustering (VGC) algorithm uses cluster-validity information to guide a fuzzy (re)clustering process toward better solutions. It starts with a partition generated by a soft or fuzzy clustering algorithm. Then it iteratively alters the partition by applying (novel) split-and-merge operations to the clusters. Partition modifications that result in improved partition validity are retained. VGC is tested on both synthetic and real-world data. For magnetic resonance image (MRI) segmentation, evaluations by radiologists show that VGC outperforms the (unsupervised) fuzzy c-means algorithm, and VGC's performance approaches that of the (supervised) k-nearest-neighbors algorithm.
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Cites
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Chou, C.-H., Su, M.-C., & Lai, E. (2004) · Pattern Analysis and Applications · doi:10.1007/s10044-004-0218-1 · Cited by 326
New indices for cluster validity assessment
Kim, M., & Ramakrishna, R. S. (2005) · Pattern Recognition Letters · doi:10.1016/j.patrec.2005.04.007 · Cited by 270
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
Evolution of cellular morpho-phenotypes in cancer metastasis.
Wu, P.-H., Phillip, J. M., Khatau, S. B., Chen, W.-C., Stirman, J., Rosseel, S., Tschudi, K., Van Patten, J., Wong, M., Gupta, S., et al. (2015) · Scientific Reports · doi:10.1038/srep18437 · Cited by 117
Normal brain volume measurements using multispectral MRI segmentation
Vaidyanathan, M., Clarke, L. P., Heidtman, C., Velthuizen, R. P., & Hall, L. O. (1997) · Magnetic Resonance Imaging · doi:10.1016/s0730-725x(96)00244-5 · Cited by 39
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Metadata
- Authors
- Bensaid, A. M., Hall, L. O., Bezdek, J. C., Clarke, L. P., Silbiger, M. L., Arrington, J. A., & Murtagh, R. F.
- Venue
- IEEE Transactions on Fuzzy Systems
- Published
- 1996-05
- Volume
- 4
- Issue
- 2
- Pages
- 112-123
- ISSN
- 1063-6706 (ISSN-L)
- OpenAlex
- W2025242337
- Cited by
- 425
- References
- 22
- FWCI
- 7.69
- Type
- journal article
- Language
- en
- Open access
- closed
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- Bensaid, A. M., Hall, L. O., Bezdek, J. C., Clarke, L. P., Silbiger, M. L., Arrington, J. A., & Murtagh, R. F. (1996). Validity-guided (re)clustering with applications to image segmentation. IEEE Transactions on Fuzzy Systems. https://doi.org/10.1109/91.493905
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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