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Jurio, Aranzazu, Bustince, Humberto and Torra, Vicenç (2019) Managing the doubt in fuzzy clustering by means of interval-valued fuzzy sets. In: 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). IEEE. ISBN 9781538617281
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Abstract
In this work we study how the outliers can distort a partitional clustering process. We present a new algorithm to avoid this distortion. It is based on the minimization of a new objective functions, which is an extension of the one of the Fuzzy Clusters Means algorithm. The main novelty is the use of interval values to calculate the membership degrees of each datum to each cluster. We show the performance of our proposal over different datasets and we present its advantages in image segmentation.
| Item Type: | Book Section |
|---|---|
| Additional Information: | Cite as: A. Jurio, H. Bustince and V. Torra, "Managing the doubt in fuzzy clustering by means of interval-valued fuzzy sets," 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 2019, pp. 1-6, doi: 10.1109/FUZZ-IEEE.2019.8858837. |
| Keywords: | Managing; fuzzy; clustering; interval-valued fuzzy sets; |
| Academic Unit: | Faculty of Science and Engineering > Research Institutes > Hamilton Institute |
| Item ID: | 14380 |
| Identification Number: | 10.1109/FUZZ-IEEE.2019.8858837 |
| Depositing User: | Vicenç Torra |
| Date Deposited: | 27 Apr 2021 14:09 |
| Journal or Publication Title: | 2019 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE) |
| Publisher: | IEEE |
| Refereed: | Yes |
| Related URLs: | |
| URI: | https://mu.eprints-hosting.org/id/eprint/14380 |
| Use Licence: | This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here |
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