Fuzzy clustering is capable of finding vague boundaries that crisp clustering fails to obtain. But time complexity of fuzzy clustering is usually high, and the need to specify complicated parameters hinders its use. In this paper, an entropy-based fuzzy clustering method is proposed. It automaticall
Sugeno's fuzzy measure and fuzzy clustering
✍ Scribed by K. Leszczyński; P. Penczek; W. Grochulski
- Publisher
- Elsevier Science
- Year
- 1985
- Tongue
- English
- Weight
- 478 KB
- Volume
- 15
- Category
- Article
- ISSN
- 0165-0114
No coin nor oath required. For personal study only.
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