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
โฆ LIBER โฆ
Neuro-fuzzy system modeling based on automatic fuzzy clustering
โ Scribed by Yuangang Tang; Fuchun Sun; Zengqi Sun
- Book ID
- 107504444
- Publisher
- South China University of Technology and Academy of Mathematics and Systems Science, CAS
- Year
- 2005
- Tongue
- English
- Weight
- 725 KB
- Volume
- 3
- Category
- Article
- ISSN
- 1672-6340
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