A new method of fuzzy clustering is proposed. This is a complete Gaussian membership function derived by means of the maximum-entropy interpretation. Compared to the traditional fuzzy c-means (FCM) method, our approach exhibits the following two advantages: (1) having clearer physical meaning and we
Fuzzy clustering algorithms based on the maximum likelihood priciple
β Scribed by E. Trauwaert; L. Kaufman; P. Rousseeuw
- Publisher
- Elsevier Science
- Year
- 1991
- Tongue
- English
- Weight
- 739 KB
- Volume
- 42
- Category
- Article
- ISSN
- 0165-0114
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