Pham, V.N. and Ngo, L.T. (2015) Interval type-2 fuzzy co-clustering algorithm. In: IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2015, 2 August 2015 through 5 August 2015.
Interval type-2 fuzzy co-clustering algorithm.pdf
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Abstract
This paper introduces a novel clustering technique by combining fuzzy co-clustering approach and interval type-2 fuzzy sets. The proposed algorithm is demonstrated through experiments on UC Berkeley image data-sets to conduct clustering on color images. The experimental results show that the clustering quality is better by evaluating using validity indexes in comparison with previous methods. © 2015 IEEE.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Divisions: | Faculties > Faculty of Information Technology |
| Identification Number: | 10.1109/FUZZ-IEEE.2015.7337960 |
| Uncontrolled Keywords: | Algorithms; Cobalt compounds; Fuzzy clustering; Fuzzy systems; Image segmentation; Clustering quality; Color images; Fuzzy co-clustering; Image datasets; Interval type-2 fuzzy; Interval type-2 fuzzy sets; Novel clustering; Validity index; Clustering algorithms |
| Additional Information: | Conference code: 118450. Language of original document: English. |
| URI: | http://eprints.lqdtu.edu.vn/id/eprint/9897 |
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